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Kalyanmoy Deb
2010 – today
- 2013
[j49]Faez Ahmed, Kalyanmoy Deb, Abhilash Jindal: Multi-objective optimization and decision making approaches to cricket team selection. Appl. Soft Comput. 13(1): 402-414 (2013)
[j48]Ankur Sinha, Dhish Kumar Saxena, Kalyanmoy Deb, Ashutosh Tiwari: Using objective reduction and interactive procedure to handle many-objective optimization problems. Appl. Soft Comput. 13(1): 415-427 (2013)
[j47]Dapeng Li, Sanjoy Das, Anil Pahwa, Kalyanmoy Deb: A multi-objective evolutionary approach for generator scheduling. Expert Syst. Appl. 40(18): 7647-7655 (2013)
[j46]Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb: Improving differential evolution through a unified approach. J. Global Optimization 55(4): 771-799 (2013)
[j45]Joydeep Dutta, Kalyanmoy Deb, Rupesh Tulshyan, Ramnik Arora: Approximate KKT points and a proximity measure for termination. J. Global Optimization 56(4): 1463-1499 (2013)
[j44]Sunith Bandaru, Kalyanmoy Deb: Higher and lower-level knowledge discovery from Pareto-optimal sets. J. Global Optimization 57(2): 281-298 (2013)
[j43]Arup Kumar Nandi, Kalyanmoy Deb, Shubhabrata Datta, Juhani Orkas: A genetic fuzzy based modeling of effective thermal conductivity for polymer composites. Journal of Intelligent and Fuzzy Systems 25(2): 259-270 (2013)
[j42]Faez Ahmed, Kalyanmoy Deb: Multi-objective optimal path planning using elitist non-dominated sorting genetic algorithms. Soft Comput. 17(7): 1283-1299 (2013)
[j41]Dhish Kumar Saxena, João A. Duro, Ashutosh Tiwari, Kalyanmoy Deb, Qingfu Zhang: Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms. IEEE Trans. Evolutionary Computation 17(1): 77-99 (2013)
[j40]Karthik Sindhya, Kaisa Miettinen, Kalyanmoy Deb: A Hybrid Framework for Evolutionary Multi-Objective Optimization. IEEE Trans. Evolutionary Computation 17(4): 495-511 (2013)
[c170]Sunith Bandaru, Kalyanmoy Deb: A parameterless-niching-assisted bi-objective approach to multimodal optimization. IEEE Congress on Evolutionary Computation 2013: 95-102
[c169]Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb: Multi-objective Stackelberg game between a regulating authority and a mining company: A case study in environmental economics. IEEE Congress on Evolutionary Computation 2013: 478-485
[c168]Rituparna Datta, M. Fernanda P. Costa, Kalyanmoy Deb, António Gaspar-Cunha: An evolutionary algorithm based pattern search approach for constrained optimization. IEEE Congress on Evolutionary Computation 2013: 1355-1362
[c167]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb: A comparative study of dynamic resampling strategies for guided Evolutionary Multi-objective Optimization. IEEE Congress on Evolutionary Computation 2013: 1826-1835
[c166]Nikhil Padhye, Pulkit Mittal, Kalyanmoy Deb: Differential evolution: Performances and analyses. IEEE Congress on Evolutionary Computation 2013: 1960-1967
[c165]Rituparna Datta, Kalyanmoy Deb: Individual penalty based constraint handling using a hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2013: 2720-2727
[c164]Gustavo Recio, Kalyanmoy Deb: Solving clustering problems using bi-objective evolutionary optimisation and knee finding algorithms. IEEE Congress on Evolutionary Computation 2013: 2848-2855
[c163]Kalyanmoy Deb: Innovization: Discovery of Innovative Solution Principles Using Multi-Objective Optimization. EMO 2013: 4-5
[c162]Himanshu Jain, Kalyanmoy Deb: An Improved Adaptive Approach for Elitist Nondominated Sorting Genetic Algorithm for Many-Objective Optimization. EMO 2013: 307-321
[c161]Sunith Bandaru, Kalyanmoy Deb: A Dimensionally-Aware Genetic Programming Architecture for Automated Innovization. EMO 2013: 513-527
[c160]Ankur Sinha, Pekka Malo, Kalyanmoy Deb: Evolutionary bilevel optimization. GECCO (Companion) 2013: 877-892
[i3]Ankur Sinha, Pekka Malo, Kalyanmoy Deb: Efficient Evolutionary Algorithm for Single-Objective Bilevel Optimization. CoRR abs/1303.3901 (2013)
[i2]Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb: Finding Optimal Strategies in a Multi-Period Multi-Leader-Follower Stackelberg Game Using an Evolutionary Algorithm. CoRR abs/1307.6246 (2013)
[i1]Ankur Sinha, Pekka Malo, Anton Frantsev, Kalyanmoy Deb: Multi-objective Stackelberg Game Between a Regulating Authority and a Mining Company: A Case Study in Environmental Economics. CoRR abs/1307.6250 (2013)- 2012
[j39]Arup Kumar Nandi, Kalyanmoy Deb, Subhas Ganguly, Shubhabrata Datta: Investigating the role of metallic fillers in particulate reinforced flexible mould material composites using evolutionary algorithms. Appl. Soft Comput. 12(1): 28-39 (2012)
[j38]Kalyanmoy Deb, Francisco Ruiz, Mariano Luque, Rahul Tewari, Jose M. Cabello, Jose M. Cejudo: On the sizing of a solar thermal electricity plant for multiple objectives using evolutionary optimization. Appl. Soft Comput. 12(10): 3300-3311 (2012)
[j37]Kalyanmoy Deb, Soumil Srivastava: A genetic algorithm based augmented Lagrangian method for constrained optimization. Comp. Opt. and Appl. 53(3): 869-902 (2012)
[j36]Kalyanmoy Deb, Amit Saha: Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm. Evolutionary Computation 20(1): 27-62 (2012)
[j35]Arup Kumar Nandi, Shubhabrata Datta, Kalyanmoy Deb: Design of particle-reinforced polyurethane mould materials for soft tooling process using evolutionary multi-objective optimization algorithms. Soft Comput. 16(6): 989-1008 (2012)
[c159]Abhinav Gaur, Sunith Bandaru, Vineet R. Khare, Rahul Chougule, Kalyanmoy Deb: Identification and Impact Assessment of High-Priority Field Failures in Passenger Vehicles Using Evolutionary Optimization. BIC-TA (1) 2012: 111-122
[c158]Kalyanmoy Deb, Yashesh D. Dhebar, N. V. R. Pavan: Non-Uniform Mapping in Binary-Coded Genetic Algorithms. BIC-TA (1) 2012: 133-144
[c157]Faez Ahmed, Bishakh Bhattacharya, Kalyanmoy Deb: Constructive Solid Geometry Based Topology Optimization Using Evolutionary Algorithm. BIC-TA (1) 2012: 227-238
[c156]Nikhil Padhye, Kalyanmoy Deb, Pulkit Mittal: Boundary Handling Approaches in Particle Swarm Optimization. BIC-TA (1) 2012: 287-298
[c155]Oliver Chikumbo, Erik D. Goodman, Kalyanmoy Deb: Approximating a multi-dimensional Pareto front for a land use management problem: A modified MOEA with an epigenetic silencing metaphor. IEEE Congress on Evolutionary Computation 2012: 1-9
[c154]Rituparna Datta, Michael S. Bittermann, Kalyanmoy Deb, Özer Ciftcioglu: Probabilistic constraint handling in the framework of joint evolutionary-classical optimization with engineering applications. IEEE Congress on Evolutionary Computation 2012: 1-8
[c153]Rituparna Datta, Kalyanmoy Deb: An adaptive normalization based constrained handling methodology with hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2012: 1-8
[c152]Kalyanmoy Deb, Himanshu Jain: Handling many-objective problems using an improved NSGA-II procedure. IEEE Congress on Evolutionary Computation 2012: 1-8
[c151]Florian Siegmund, Amos H. C. Ng, Kalyanmoy Deb: Finding a preferred diverse set of Pareto-optimal solutions for a limited number of function calls. IEEE Congress on Evolutionary Computation 2012: 1-8
[c150]Ankur Sinha, Pekka Malo, Kalyanmoy Deb: Unconstrained scalable test problems for single-objective bilevel optimization. IEEE Congress on Evolutionary Computation 2012: 1-8
[c149]Ankur Sinha, Anmol Pandey, Kalyanmoy Deb: Solving high objective problems in fixed interactions with the decision maker. IEEE Congress on Evolutionary Computation 2012: 1-8
[c148]Dimo Brockhoff, Kalyanmoy Deb: GECCO 2012 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2012: 751-776
[c147]Matt Ryerkerk, Ronald C. Averill, Kalyanmoy Deb, Erik D. Goodman: Meaningful representation and recombination of variable length genomes. GECCO (Companion) 2012: 1471-1472
[c146]Kalyanmoy Deb, Sunith Bandaru, Cem Celal Tutum: Temporal Evolution of Design Principles in Engineering Systems: Analogies with Human Evolution. PPSN (2) 2012: 1-10
[c145]Debayan Deb, Kalyanmoy Deb: Investigation of Mutation Schemes in Real-Parameter Genetic Algorithms. SEMCCO 2012: 1-8
[c144]Arnav Acharyya, Kalyanmoy Deb: Associated and Assorted Recombination in SBX Operator for Problems with Linkages. SEMCCO 2012: 484-491
[c143]
[c142]Florian Siegmund, Jacob Bernedixen, Leif Pehrsson, Amos H. C. Ng, Kalyanmoy Deb: Reference point-based evolutionary multi-objective optimization for industrial systems simulation. Winter Simulation Conference 2012: 130
[p9]David W. Corne, Kalyanmoy Deb, Joshua Knowles, Xin Yao: Selected Aspects of Natural Computing. Handbook of Natural Computing 2012: 1737-1801
[e17]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone (Eds.): Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part I. Lecture Notes in Computer Science 7491, Springer 2012, ISBN 978-3-642-32936-4
[e16]Carlos A. Coello Coello, Vincenzo Cutello, Kalyanmoy Deb, Stephanie Forrest, Giuseppe Nicosia, Mario Pavone (Eds.): Parallel Problem Solving from Nature - PPSN XII - 12th International Conference, Taormina, Italy, September 1-5, 2012, Proceedings, Part II. Lecture Notes in Computer Science 7492, Springer 2012, ISBN 978-3-642-32963-0- 2011
[j34]Karthik Sindhya, Kalyanmoy Deb, Kaisa Miettinen: Improving convergence of evolutionary multi-objective optimization with local search: a concurrent-hybrid algorithm. Natural Computing 10(4): 1407-1430 (2011)
[c141]Sunith Bandaru, Rupesh Tulshyan, Kalyanmoy Deb: Modified SBX and adaptive mutation for real world single objective optimization. IEEE Congress on Evolutionary Computation 2011: 1335-1342
[c140]Sunith Bandaru, Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel: Higher-level innovization: A case study from Friction Stir Welding process optimization. IEEE Congress on Evolutionary Computation 2011: 2782-2789
[c139]Sunith Bandaru, Kalyanmoy Deb: Automated Innovization for Simultaneous Discovery of Multiple Rules in Bi-objective Problems. EMO 2011: 1-15
[c138]Rituparna Datta, Kalyanmoy Deb: A Bi-objective Based Hybrid Evolutionary-Classical Algorithm for Handling Equality Constraints. EMO 2011: 313-327
[c137]Kalyanmoy Deb, Ralph E. Steuer, Rajat Tewari, Rahul Tewari: Bi-objective Portfolio Optimization Using a Customized Hybrid NSGA-II Procedure. EMO 2011: 358-373
[c136]Rupesh Tulshyan, Kalyanmoy Deb, Sunith Bandaru: KKT proximity measure for testing convergence in smooth multi-objective optimization. GECCO (Companion) 2011: 93-94
[c135]Sunith Bandaru, Kalyanmoy Deb: Design knowledge extraction in multi-objective optimization problems. GECCO (Companion) 2011: 787-790
[c134]Rupesh Kumar Srivastava, Kalyanmoy Deb: An EA-based approach to design optimization using evidence theory. GECCO 2011: 1139-1146
[c133]Sunith Bandaru, Kalyanmoy Deb, Vineet R. Khare, Rahul Chougule: Quantitative modeling of customer perception from service data using evolutionary optimization. GECCO 2011: 1763-1770
[c132]Rituparna Datta, Kalyanmoy Deb: Multi-objective design and analysis of robot gripper configurations using an evolutionary-classical approach. GECCO 2011: 1843-1850
[c131]Faez Ahmed, Kalyanmoy Deb: Multi-objective path planning using spline representation. ROBIO 2011: 1047-1052
[c130]Faez Ahmed, Abhilash Jindal, Kalyanmoy Deb: Cricket Team Selection Using Evolutionary Multi-objective Optimization. SEMCCO (2) 2011: 71-78
[c129]Himanshu Jain, Kalyanmoy Deb: Parent to Mean-Centric Self-Adaptation in SBX Operator for Real-Parameter Optimization. SEMCCO (1) 2011: 299-306
[p8]Kalyanmoy Deb: Multi-objective Optimisation Using Evolutionary Algorithms: An Introduction. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 3-34
[p7]Madan Mohan Dabbeeru, Kalyanmoy Deb, Amitabha Mukerjee: Product Portfolio Selection of Designs Through an Analysis of Lower-Dimensional Manifolds and Identification of Common Properties. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 161-187
[p6]Nikhil Padhye, Kalyanmoy Deb: Multi-objective Optimisation and Multi-criteria Decision Making for FDM Using Evolutionary Approaches. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 219-247
[p5]Amos H. C. Ng, Catarina Dudas, Johannes Nießen, Kalyanmoy Deb: Simulation-Based Innovization Using Data Mining for Production Systems Analysis. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing 2011: 401-429
[e15]Lihui Wang, Amos H. C. Ng, Kalyanmoy Deb (Eds.): Multi-objective Evolutionary Optimisation for Product Design and Manufacturing. Springer 2011, ISBN 978-0-85729-617-7
[e14]Ricardo H. C. Takahashi, Kalyanmoy Deb, Elizabeth F. Wanner, Salvatore Greco (Eds.): Evolutionary Multi-Criterion Optimization - 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings. Lecture Notes in Computer Science 6576, Springer 2011, ISBN 978-3-642-19892-2- 2010
[j33]Shamik Chaudhuri, Kalyanmoy Deb: An interactive evolutionary multi-objective optimization and decision making procedure. Appl. Soft Comput. 10(2): 496-511 (2010)
[j32]Kalyanmoy Deb, Ankur Sinha: An Efficient and Accurate Solution Methodology for Bilevel Multi-Objective Programming Problems Using a Hybrid Evolutionary-Local-Search Algorithm. Evolutionary Computation 18(3): 403-449 (2010)
[j31]Kalyanmoy Deb, Murat Köksalan: Guest Editorial Special Issue on Preference-Based Multiobjective Evolutionary Algorithms. IEEE Trans. Evolutionary Computation 14(5): 669-670 (2010)
[j30]Kalyanmoy Deb, Ankur Sinha, Pekka J. Korhonen, Jyrki Wallenius: An Interactive Evolutionary Multiobjective Optimization Method Based on Progressively Approximated Value Functions. IEEE Trans. Evolutionary Computation 14(5): 723-739 (2010)
[j29]Kalyanmoy Deb, Kaisa Miettinen, Shamik Chaudhuri: Toward an Estimation of Nadir Objective Vector Using a Hybrid of Evolutionary and Local Search Approaches. IEEE Trans. Evolutionary Computation 14(6): 821-841 (2010)
[c128]Ramnik Arora, Rupesh Tulshyan, Kalyanmoy Deb: Parallelization of binary and real-coded genetic algorithms on GPU using CUDA. IEEE Congress on Evolutionary Computation 2010: 1-8
[c127]Sunith Bandaru, Kalyanmoy Deb: Automated discovery of vital knowledge from Pareto-optimal solutions: First results from engineering design. IEEE Congress on Evolutionary Computation 2010: 1-8
[c126]Kalyanmoy Deb, Rituparna Datta: A fast and accurate solution of constrained optimization problems using a hybrid bi-objective and penalty function approach. IEEE Congress on Evolutionary Computation 2010: 1-8
[c125]Xiaodong Li, Kalyanmoy Deb: Comparing lbest PSO niching algorithms using different position update rules. IEEE Congress on Evolutionary Computation 2010: 1-8
[c124]Amit Saha, Rituparna Datta, Kalyanmoy Deb: Hybrid gradient projection based Genetic Algorithms for constrained optimization. IEEE Congress on Evolutionary Computation 2010: 1-8
[c123]Ankur Sinha, Kalyanmoy Deb, Pekka J. Korhonen, Jyrki Wallenius: Progressively interactive evolutionary multi-objective optimization method using generalized polynomial value functions. IEEE Congress on Evolutionary Computation 2010: 1-8
[c122]Kalyanmoy Deb, Nikhil Padhye: Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms. GECCO 2010: 55-62
[c121]Kalyanmoy Deb, Amit Saha: Finding multiple solutions for multimodal optimization problems using a multi-objective evolutionary approach. GECCO 2010: 447-454
[c120]Rupesh Tulshyan, Ramnik Arora, Kalyanmoy Deb, Joydeep Dutta: Investigating EA solutions for approximate KKT conditions in smooth problems. GECCO 2010: 689-696
[c119]Christie Myburgh, Kalyanmoy Deb: Evolutionary algorithms in large-scale open pit mine scheduling. GECCO 2010: 1155-1162
[c118]Nikhil Padhye, Kalyanmoy Deb: Evolutionary multi-objective optimization and decision making for selective laser sintering. GECCO 2010: 1259-1266
[c117]
[c116]Ankur Sinha, Pekka J. Korhonen, Jyrki Wallenius, Kalyanmoy Deb: An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones. LION 2010: 318-332
[c115]
[c114]Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb: Improving Differential Evolution by Altering Steps in EC. SEAL 2010: 146-155
[c113]Rupesh Kumar Srivastava, Kalyanmoy Deb: Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms. SEAL 2010: 435-444
[c112]Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel: Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding. SEAL 2010: 603-612
[c111]Kalyanmoy Deb, Shivam Gupta: Towards a Link between Knee Solutions and Preferred Solution Methodologies. SEMCCO 2010: 182-189
[c110]Soumil Srivastava, Kalyanmoy Deb: A Genetic Algorithm Based Augmented Lagrangian Method for Computationally Fast Constrained Optimization. SEMCCO 2010: 330-337
[c109]P. K. S. Nain, J. M. Giri, S. Sharma, Kalyanmoy Deb: Multi-objective Performance Optimization of Thermo-Electric Coolers Using Dimensional Structural Parameters. SEMCCO 2010: 607-614
[e13]Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan (Eds.): Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7
2000 – 2009
- 2009
[j28]Jürgen Branke, B. Scheckenbach, Michael Stein, Kalyanmoy Deb, Hartmut Schmeck: Portfolio optimization with an envelope-based multi-objective evolutionary algorithm. European Journal of Operational Research 199(3): 684-693 (2009)
[j27]Shashi Mittal, Kalyanmoy Deb: Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives. IEEE Trans. Evolutionary Computation 13(3): 554-565 (2009)
[j26]Kalyanmoy Deb, Shubham Gupta, David A. Daum, Jürgen Branke, Abhishek Kumar Mall, Dhanesh Padmanabhan: Reliability-Based Optimization Using Evolutionary Algorithms. IEEE Trans. Evolutionary Computation 13(5): 1054-1074 (2009)
[c108]Dhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari: Constrained many-objective optimization: A way forward. IEEE Congress on Evolutionary Computation 2009: 545-552
[c107]Kalyanmoy Deb, Ankur Sinha: Constructing test problems for bilevel evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2009: 1153-1160
[c106]Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Francisco Ruiz, Kalyanmoy Deb, Rahul Tewari: Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms. IEEE Congress on Evolutionary Computation 2009: 1193-1200
[c105]Santosh Tiwari, Georges Fadel, Patrick Koch, Kalyanmoy Deb: Performance assessment of the hybrid Archive-based Micro Genetic Algorithm (AMGA) on the CEC09 test problems. IEEE Congress on Evolutionary Computation 2009: 1935-1942
[c104]Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa Miettinen: Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems. IEEE Congress on Evolutionary Computation 2009: 2919-2926
[c103]Shyam P. Kodali, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore: Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input data. IEEE Congress on Evolutionary Computation 2009: 2963-2970
[c102]Kalyanmoy Deb, Ankur Sinha: Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms. EMO 2009: 110-124
[c101]Kalyanmoy Deb, Kaisa Miettinen, Deepak Sharma: A Hybrid Integrated Multi-Objective Optimization Procedure for Estimating Nadir Point. EMO 2009: 569-583
[c100]Shyam P. Kodali, Kalyanmoy Deb, Sunith Bandaru, Prabhat Munshi, N. N. Kishore: Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography. ICANNGA 2009: 253-262
[c99]Rituparna Datta, Kalyanmoy Deb: A Classical-cum-Evolutionary Multi-objective Optimization for Optimal Machining Parameters. NaBIC 2009: 607-612- 2008
[j25]Kalyanmoy Deb, Santosh Tiwari: Omni-optimizer: A generic evolutionary algorithm for single and multi-objective optimization. European Journal of Operational Research 185(3): 1062-1087 (2008)
[j24]Lam Thu Bui, Kalyanmoy Deb, Hussein A. Abbass, Daryl Essam: Interleaving Guidance in Evolutionary Multi-Objective Optimization. J. Comput. Sci. Technol. 23(1): 44-63 (2008)
[j23]Kalyanmoy Deb: Scope of stationary multi-objective evolutionary optimization: a case study on a hydro-thermal power dispatch problem. J. Global Optimization 41(4): 479-515 (2008)
[j22]Jyrki Wallenius, James S. Dyer, Peter C. Fishburn, Ralph E. Steuer, Stanley Zionts, Kalyanmoy Deb: Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead. Management Science 54(7): 1336-1349 (2008)
[j21]Dilip Datta, Carlos M. Fonseca, Kalyanmoy Deb: A multi-objective evolutionary algorithm to exploit the similarities of resource allocation problems. J. Scheduling 11(6): 405-419 (2008)
[c98]Deepak Sharma, Kalyanmoy Deb, N. N. Kishore: Towards generating diverse topologies of path tracing compliant mechanisms using a local search based multi-objective genetic algorithm procedure. IEEE Congress on Evolutionary Computation 2008: 2004-2011
[c97]Kalyanmoy Deb, Karthik Sindhya: Deciphering innovative principles for optimal electric brushless D.C. permanent magnet motor design. IEEE Congress on Evolutionary Computation 2008: 2283-2290
[c96]M. Sathe, Günter Rudolph, Kalyanmoy Deb: Design and validation of a hybrid interactive reference point method for multi-objective optimization. IEEE Congress on Evolutionary Computation 2008: 2909-2916
[c95]Dhish Kumar Saxena, Kalyanmoy Deb: Dimensionality reduction of objectives and constraints in multi-objective optimization problems: A system design perspective. IEEE Congress on Evolutionary Computation 2008: 3204-3211
[c94]Kalyanmoy Deb: Introduction to Evolutionary Multiobjective Optimization. Multiobjective Optimization 2008: 59-96
[c93]Kaisa Miettinen, Kalyanmoy Deb, Johannes Jahn, Wlodzimierz Ogryczak, Koji Shimoyama, Rudolf Vetschera: Future Challenges. Multiobjective Optimization 2008: 435-461
[c92]Kalyanmoy Deb: A robust evolutionary framework for multi-objective optimization. GECCO 2008: 633-640
[c91]Santosh Tiwari, Patrick Koch, Georges Fadel, Kalyanmoy Deb: AMGA: an archive-based micro genetic algorithm for multi-objective optimization. GECCO 2008: 729-736
[c90]Anurag Bhatt, Pratul Varshney, Kalyanmoy Deb: In search of no-loss strategies for the game of tic-tac-toe using a customized genetic algorithm. GECCO 2008: 889-896
[c89]Shyam P. Kodali, Sunith Bandaru, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore: Applicability of genetic algorithms to reconstruction of projected data from ultrasonic tomography. GECCO 2008: 1705-1706
[c88]Deepak Sharma, Kalyanmoy Deb, N. N. Kishore: A domain-specific crossover and a helper objective for generating minimum weight compliant mechanisms. GECCO 2008: 1723-1724
[c87]Eckart Zitzler, Kalyanmoy Deb: Evolutionary multiobjective optimization. GECCO (Companion) 2008: 2467-2486
[c86]
[c85]Elina Madetoja, Henri Ruotsalainen, Veli-Matti Mönkkönen, Jari Hämäläinen, Kalyanmoy Deb: Visualizing multi-dimensional pareto-optimal fronts with a 3D virtual reality system. IMCSIT 2008: 907-913
[c84]Kamal Srivastava, Sanjay Srivastava, Bhupendra Kumar Pathak, Kalyanmoy Deb: Discrete Time-Cost Tradeoff with a Novel Hybrid Meta-Heuristic. MCDM 2008: 177-188
[c83]Johannes Bader, Kalyanmoy Deb, Eckart Zitzler: Faster Hypervolume-Based Search Using Monte Carlo Sampling. MCDM 2008: 313-326
[c82]Kalyanmoy Deb, Kaisa Miettinen: Nadir Point Estimation Using Evolutionary Approaches: Better Accuracy and Computational Speed Through Focused Search. MCDM 2008: 339-354
[c81]Karthik Sindhya, Kalyanmoy Deb, Kaisa Miettinen: A Local Search Based Evolutionary Multi-objective Optimization Approach for Fast and Accurate Convergence. PPSN 2008: 815-824
[e12]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Slowinski (Eds.): Multiobjective Optimization, Interactive and Evolutionary Approaches [outcome of Dagstuhl seminars]. . Lecture Notes in Computer Science 5252, Springer 2008, ISBN 978-3-540-88907-6
[e11]Xiaodong Li, Michael Kirley, Mengjie Zhang, David G. Green, Victor Ciesielski, Hussein A. Abbass, Zbigniew Michalewicz, Tim Hendtlass, Kalyanmoy Deb, Kay Chen Tan, Jürgen Branke, Yuhui Shi (Eds.): Simulated Evolution and Learning, 7th International Conference, SEAL 2008, Melbourne, Australia, December 7-10, 2008. Proceedings. Lecture Notes in Computer Science 5361, Springer 2008, ISBN 978-3-540-89693-7- 2007
[c80]Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb: A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. IEEE Congress on Evolutionary Computation 2007: 297-304
[c79]David A. Daum, Kalyanmoy Deb, Jürgen Branke: Reliability-based optimization for multiple constraints with evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 911-918
[c78]Dhish Kumar Saxena, Kalyanmoy Deb: Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. IEEE Congress on Evolutionary Computation 2007: 919-926
[c77]Gideon Avigad, Kalyanmoy Deb: The sequential optimization-constraint multi-objective problem and its applications for robust planning of robot paths. IEEE Congress on Evolutionary Computation 2007: 2101-2108
[c76]Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep Dutta: Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. IEEE Congress on Evolutionary Computation 2007: 2109-2116
[c75]Kalyanmoy Deb, Abhay Kumar: Light beam search based multi-objective optimization using evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 2125-2132
[c74]Deepak Sharma, Abhay Kumar, Kalyanmoy Deb, Karthik Sindhya: Hybridization of SBX based NSGA-II and sequential quadratic programming for solving multi-objective optimization problems. IEEE Congress on Evolutionary Computation 2007: 3003-3010
[c73]Abhay Kumar, Deepak Sharma, Kalyanmoy Deb: A hybrid multi-objective optimization procedure using PCX based NSGA-II and sequential quadratic programming. IEEE Congress on Evolutionary Computation 2007: 3011-3018
[c72]Aaron Garrett, Gerry V. Dozier, Kalyanmoy Deb: NEMO: neural enhancement for multiobjective optimization. IEEE Congress on Evolutionary Computation 2007: 3108-3113
[c71]Shashi Mittal, Kalyanmoy Deb: Three-dimensional offline path planning for UAVs using multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation 2007: 3195-3202
[c70]Kalyanmoy Deb, Abhishek Kumar: Interactive evolutionary multi-objective optimization and decision-making using reference direction method. GECCO 2007: 781-788
[c69]Kalyanmoy Deb, Karthik Sindhya, Tatsuya Okabe: Self-adaptive simulated binary crossover for real-parameter optimization. GECCO 2007: 1187-1194
[c68]
[c67]Eckart Zitzler, Kalyanmoy Deb: Evolutionary multiobjective optimization. GECCO (Companion) 2007: 3792-3809
[c66]Kalyanmoy Deb, Nikhil Padhye, Ganesh Neema: Interplanetary Trajectory Optimization with Swing-Bys Using Evolutionary Multi-objective Optimization. ISICA 2007: 26-35
[c65]Kalyanmoy Deb, Swanand Lele, Rituparna Datta: A Hybrid Evolutionary Multi-objective and SQP Based Procedure for Constrained Optimization. ISICA 2007: 36-45
[p4]Kalyanmoy Deb, Abbadi Raji Reddy, Shamik Chaudhuri: A Reliable Classification of Gene Clusters for Cancer Samples Using a Hybrid Multi-Objective Evolutionary Procedure. Analysis of Biological Data: A Soft Computing Approach 2007: 231-257
[p3]Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca: Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem. Evolutionary Scheduling 2007: 197-236
[p2]Kalyanmoy Deb: Evolutionary Multi-Objective Optimization Without Additional Parameters. Parameter Setting in Evolutionary Algorithms 2007: 241-257
[p1]Kalyanmoy Deb, Pawan K. S. Nain: An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks. Evolutionary Computation in Dynamic and Uncertain Environments 2007: 297-322
[e10]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Slowinski (Eds.): Practical Approaches to Multi-Objective Optimization, 10.12. - 15.12.2006. Dagstuhl Seminar Proceedings 06501, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007
[e9]Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata (Eds.): Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings. Lecture Notes in Computer Science 4403, Springer 2007, ISBN 3-540-70927-4- 2006
[j20]Kalyanmoy Deb, Himanshu Gupta: Introducing Robustness in Multi-Objective Optimization. Evolutionary Computation 14(4): 463-494 (2006)
[c64]Shashi Mittal, Kalyanmoy Deb: Optimal Strategies of the Iterated Prisoner's Dilemma Problem for Multiple Conflicting Objectives. CIG 2006: 197-204
[c63]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Roman Slowinski: 06501 Abstracts Collection - Practical Approaches to Multi-Objective Optimization. Practical Approaches to Multi-Objective Optimization 2006
[c62]Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall: Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms. EMO 2006: 66-80
[c61]Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca: Multi-objective Evolutionary Algorithms for Resource Allocation Problems. EMO 2006: 401-416
[c60]Dhish Kumar Saxena, Kalyanmoy Deb: Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding. EMO 2006: 772-787
[c59]Kalyanmoy Deb, Shamik Chaudhuri: I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods. EMO 2006: 788-802
[c58]Kalyanmoy Deb, Udaya Bhaskara Rao N., S. Karthik: Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling. EMO 2006: 803-817
[c57]Kalyanmoy Deb, J. Sundar: Reference point based multi-objective optimization using evolutionary algorithms. GECCO 2006: 635-642
[c56]Kalyanmoy Deb, Shamik Chaudhuri, Kaisa Miettinen: Towards estimating nadir objective vector using evolutionary approaches. GECCO 2006: 643-650
[c55]Kalyanmoy Deb, Ankur Sinha, Saku Kukkonen: Multi-objective test problems, linkages, and evolutionary methodologies. GECCO 2006: 1141-1148
[c54]Gulshan Singh, Kalyanmoy Deb: Comparison of multi-modal optimization algorithms based on evolutionary algorithms. GECCO 2006: 1305-1312
[c53]Kalyanmoy Deb, Aravind Srinivasan: Innovization: innovating design principles through optimization. GECCO 2006: 1629-1636
[c52]Saku Kukkonen, Kalyanmoy Deb: A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective Problems. PPSN 2006: 553-562
[c51]Lam Thu Bui, Kalyanmoy Deb, Hussein A. Abbass, Daryl Essam: Dual Guidance in Evolutionary Multi-objective Optimization by Localization. SEAL 2006: 384-391
[c50]Vipin K. Tripathi, Bhaskar Dasgupta, Kalyanmoy Deb: A Computational Method for Viewing Molecular Interactions in Docking. VIEW 2006: 152-163- 2005
[j19]Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra: Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions. Evolutionary Computation 13(4): 501-525 (2005)
[c49]Himanshu Gupta, Kalyanmoy Deb: Handling constraints in robust multi-objective optimization. Congress on Evolutionary Computation 2005: 25-32
[c48]Ankur Sinha, Santosh Tiwari, Kalyanmoy Deb: A population-based, steady-state procedure for real-parameter optimization. Congress on Evolutionary Computation 2005: 514-521
[c47]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer: 04461 Summary - Practical Approaches to Multi-Criterion Optimization. Practical Approaches to Multi-Objective Optimization 2005
[c46]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer: 04461 Abstracts Collection - Practical Approaches to Multi-Objective Optimization. Practical Approaches to Multi-Objective Optimization 2005
[c45]Kalyanmoy Deb: A Tutorial on Evolutionary Multi-Objective Optimization (EMO). Practical Approaches to Multi-Objective Optimization 2005
[c44]Pradyumn Kumar Shukla, Joydeep Dutta, Kalyanmoy Deb: On Properly Pareto Optimal Solutions. Practical Approaches to Multi-Objective Optimization 2005
[c43]Kalyanmoy Deb, Santosh Tiwari: Omni-optimizer: A Procedure for Single and Multi-objective Optimization. EMO 2005: 47-61
[c42]Kalyanmoy Deb, Himanshu Gupta: Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization. EMO 2005: 150-164
[c41]Pradyumn Kumar Shukla, Kalyanmoy Deb, Santosh Tiwari: Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method. EMO 2005: 311-325
[c40]Robert T. F. Ah King, Harry C. S. Rughooputh, Kalyanmoy Deb: Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches. EMO 2005: 677-691
[c39]Kalyanmoy Deb, Shamik Chaudhuri: I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool. PReMI 2005: 690-695
[e8]Jürgen Branke, Kalyanmoy Deb, Kaisa Miettinen, Ralph E. Steuer (Eds.): Practical Approaches to Multi-Objective Optimization, 7.-12. November 2004. Dagstuhl Seminar Proceedings 04461, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2005- 2004
[j18]Marco Farina, Kalyanmoy Deb, Paolo Amato: Dynamic multiobjective optimization problems: test cases, approximations, and applications. IEEE Trans. Evolutionary Computation 8(5): 425-442 (2004)
[c38]Stanley Y. M. Shi, Ponnuthurai N. Suganthan, Kalyanmoy Deb: Multiclass protein fold recognition using multiobjective evolutionary algorithms. CIBCB 2004: 61-66
[c37]Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri, Saptarshi Majumdar: Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation. GECCO (2) 2004: 920-931
[c36]Kalyanmoy Deb, Naveen Kumar Gupta: Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms. GECCO (1) 2004: 1042-1053
[c35]Kalyanmoy Deb, Koushik Pal: Efficiently Solving: A Large-Scale Integer Linear Program Using a Customized Genetic Algorithm. GECCO (1) 2004: 1054-1065
[c34]Jürgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald: Finding Knees in Multi-objective Optimization. PPSN 2004: 722-731
[e7]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell (Eds.): Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part I. Lecture Notes in Computer Science 3102, Springer 2004, ISBN 3-540-22344-4
[e6]Kalyanmoy Deb, Riccardo Poli, Wolfgang Banzhaf, Hans-Georg Beyer, Edmund K. Burke, Paul J. Darwen, Dipankar Dasgupta, Dario Floreano, James A. Foster, Mark Harman, Owen Holland, Pier Luca Lanzi, Lee Spector, Andrea Tettamanzi, Dirk Thierens, Andrew M. Tyrrell (Eds.): Genetic and Evolutionary Computation - GECCO 2004, Genetic and Evolutionary Computation Conference, Seattle, WA, USA, June 26-30, 2004, Proceedings, Part II. Lecture Notes in Computer Science 3103, Springer 2004, ISBN 3-540-22343-6- 2003
[c33]Kalyanmoy Deb, Abbadi Raji Reddy: Large-Scale Scheduling of Casting Sequences Using a Customized Genetic Algorithm. Artificial Evolution 2003: 141-152
[c32]Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra: Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions. EMO 2003: 222-236
[c31]Marco Farina, Kalyanmoy Deb, Paolo Amato: Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications. EMO 2003: 311-326
[c30]Vineet R. Khare, Xin Yao, Kalyanmoy Deb: Performance Scaling of Multi-objective Evolutionary Algorithms. EMO 2003: 376-390
[c29]
[c28]Kalyanmoy Deb, Pawan Zope, Abhishek Jain: Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms. EMO 2003: 534-549
[c27]Abbadi Raji Reddy, Kalyanmoy Deb: Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms. EMO 2003: 623-637
[e5]Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele (Eds.): Evolutionary Multi-Criterion Optimization, Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003, Proceedings. Lecture Notes in Computer Science 2632, Springer 2003, ISBN 3-540-01869-7
[e4]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller (Eds.): Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part I. Lecture Notes in Computer Science 2723, Springer 2003, ISBN 3-540-40602-6
[e3]Erick Cantú-Paz, James A. Foster, Kalyanmoy Deb, Lawrence Davis, Rajkumar Roy, Una-May O'Reilly, Hans-Georg Beyer, Russell K. Standish, Graham Kendall, Stewart W. Wilson, Mark Harman, Joachim Wegener, Dipankar Dasgupta, Mitchell A. Potter, Alan C. Schultz, Kathryn A. Dowsland, Natasa Jonoska, Julian F. Miller (Eds.): Genetic and Evolutionary Computation - GECCO 2003, Genetic and Evolutionary Computation Conference, Chicago, IL, USA, July 12-16, 2003. Proceedings, Part II. Lecture Notes in Computer Science 2724, Springer 2003, ISBN 3-540-40603-4- 2002
[j17]Marco Laumanns, Lothar Thiele, Kalyanmoy Deb, Eckart Zitzler: Combining Convergence and Diversity in Evolutionary Multiobjective Optimization. Evolutionary Computation 10(3): 263-282 (2002)
[j16]Kalyanmoy Deb, Ashish Anand, Dhiraj Joshi: A Computationally Efficient Evolutionary Algorithm for Real-Parameter Optimization. Evolutionary Computation 10(4): 345-369 (2002)
[j15]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh: Optimal path and gait generations simultaneously of a six-legged robot using a GA-fuzzy approach. Robotics and Autonomous Systems 41(1): 1-20 (2002)
[j14]Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evolutionary Computation 6(2): 182-197 (2002)
[c26]Akshay Mohan, Kalyanmoy Deb: Genetic-Fuzzy Approach in Robot Motion Planning Revisited: Rigorous Testing and towards an Implementation. AFSS 2002: 414-420
[c25]Marco Laumanns, Lothar Thiele, Eckart Zitzler, Kalyanmoy Deb: Archiving With Guaranteed Convergence And Diversity In Multi-objective Optimization. GECCO 2002: 439-447
[c24]Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl, Kalyanmoy Deb: Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem. PPSN 2002: 44-53- 2001
[j13]Kalyanmoy Deb, Hans-Georg Beyer: Self-Adaptive Genetic Algorithms with Simulated Binary Crossover. Evolutionary Computation 9(2): 197-221 (2001)
[j12]Hans-Georg Beyer, Kalyanmoy Deb: On self-adaptive features in real-parameter evolutionary algorithms. IEEE Trans. Evolutionary Computation 5(3): 250-270 (2001)
[c23]Kalyanmoy Deb, Tushar Goel: Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence. EMO 2001: 67-81
[c22]Kalyanmoy Deb, Amrit Pratap, T. Meyarivan: Constrained Test Problems for Multi-objective Evolutionary Optimization. EMO 2001: 284-298
[c21]Kalyanmoy Deb, Tushar Goel: A Hybrid Multi-objective Evolutionary Approach to Engineering Shape Design. EMO 2001: 385-399
[e2]Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, David Corne (Eds.): Evolutionary Multi-Criterion Optimization, First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001, Proceedings. Lecture Notes in Computer Science 1993, Springer 2001, ISBN 3-540-41745-1- 2000
[j11]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh: Optimal turning gait of a six-legged robot using a GA-fuzzy approach. AI EDAM 14(3): 207-219 (2000)
[j10]Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele: Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation 8(2): 173-195 (2000)
[j9]Zbigniew Michalewicz, Kalyanmoy Deb, Martin Schmidt, Thomas Stidsen: Test-case generator for nonlinear continuous parameter optimization techniques. IEEE Trans. Evolutionary Computation 4(3): 197-215 (2000)
[c20]Hans-Georg Beyer, Kalyanmoy Deb: On the Desired Behaviors of Self-Adaptive Evolutionary Algorithms. PPSN 2000: 59-68
[c19]Kalyanmoy Deb, Samir Agrawal, Amrit Pratap, T. Meyarivan: A Fast Elitist Non-dominated Sorting Genetic Algorithm for Multi-objective Optimisation: NSGA-II. PPSN 2000: 849-858
[c18]Kalyanmoy Deb, Amrit Pratap, Subrajyoti Moitra: Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA. PPSN 2000: 859-868
[e1]Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, Juan J. Merelo Guervós, Hans-Paul Schwefel (Eds.): Parallel Problem Solving from Nature - PPSN VI, 6th International Conference, Paris, France, September 18-20, 2000, Proceedings. Lecture Notes in Computer Science 1917, Springer 2000, ISBN 3-540-41056-2
1990 – 1999
- 1999
[j8]Kalyanmoy Deb: Multi-objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems. Evolutionary Computation 7(3): 205-230 (1999)
[j7]Dilip Kumar Pratihar, Kalyanmoy Deb, Amitabha Ghosh: A genetic-fuzzy approach for mobile robot navigation among moving obstacles. Int. J. Approx. Reasoning 20(2): 145-172 (1999)
[j6]John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, Rick L. Riolo: Genetic Programming 1998: Proceedings of the Third Annual Conference. IEEE Trans. Evolutionary Computation 3(2): 159-161 (1999)
[c17]Samarjit Chakraborty, Sudipta Dey, Kalyanmoy Deb: Model-Based Object Recognition from a Complex Binary Imagery Using Genetic Algorithm. EvoWorkshops 1999: 150-161
[c16]
[c15]Kalyanmoy Deb, Hans-Georg Beyer: Self-Adaptation in Real-Parameter Genetic Algorithms with Simulated Binary Crossover. GECCO 1999: 172-179- 1998
[j5]Kalyanmoy Deb, Partha Chakroborty: Time Scheduling of Transit Systems With Transfer Considerations Using Genetic Algorithms. Evolutionary Computation 6(1): 1-24 (1998)
[c14]Kalyanmoy Deb, Samir Agrawal: Understanding Interactions among Genetic Algorithm Parameters. FOGA 1998: 265-286
[c13]Samarjit Chakraborty, Kalyanmoy Deb: Analytic Curve Detection from a Noisy Binary Edge Map Using Genetic Algorithm. PPSN 1998: 129-138
[c12]Kalyanmoy Deb, Dilip Kumar Pratihar, Amitabha Ghosh: Learning to Avoid Moving Obstacles Optimally for Mobile Robots Using a Genetic-Fuzzy Approach. PPSN 1998: 583-592- 1997
[c11]Kalyanmoy Deb, Mayank Goyal: Optimizing Engineering Designs Using a Combined Genetic Search. ICGA 1997: 521-528
[c10]Kalyanmoy Deb, Vikas Saxena: Car Suspension Design for Comfort Using Genetic Algorithm. ICGA 1997: 553-560- 1996
[j4]Uday Kumar Chakraborty, Kalyanmoy Deb, Mandira Chakraborty: Analysis of Selection Algorithms: A Markov Chain Approach. Evolutionary Computation 4(2): 133-167 (1996)- 1994
[j3]Jeffrey Horn, David E. Goldberg, Kalyanmoy Deb: Implicit Niching in a Learning Classifier System: Nature's Way. Evolutionary Computation 2(1): 37-66 (1994)
[j2]N. Srinivas, Kalyanmoy Deb: Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms. Evolutionary Computation 2(3): 221-248 (1994)
[c9]- 1993
[j1]Kalyanmoy Deb, David E. Goldberg: Sufficient Conditions for Deceptive and Easy Binary Functions. Ann. Math. Artif. Intell. 10(4): 385-408 (1993)
[c8]David E. Goldberg, Kalyanmoy Deb, Hillol Kargupta, Georges R. Harik: RapidAccurate Optimization of Difficult Problems Using Fast Messy Genetic Algorithms. ICGA 1993: 56-64- 1992
[c7]
[c6]David E. Goldberg, Kalyanmoy Deb, James H. Clark: Accounting for Noise in the Sizing of Populations. FOGA 1992: 127-140
[c5]David E. Goldberg, Kalyanmoy Deb, Jeffrey Horn: Massive Multimodality, Deception, and Genetic Algorithms. PPSN 1992: 37-48
[c4]Hillol Kargupta, Kalyanmoy Deb, David E. Goldberg: Ordering Genetic Algorithms and Deception. PPSN 1992: 49-58- 1991
[c3]- 1990
[c2]David E. Goldberg, Kalyanmoy Deb: A Comparative Analysis of Selection Schemes Used in Genetic Algorithms. FOGA 1990: 69-93
1980 – 1989
- 1989
[c1]Kalyanmoy Deb, David E. Goldberg: An Investigation of Niche and Species Formation in Genetic Function Optimization. ICGA 1989: 42-50
Coauthor Index
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last updated on 2013-10-02 11:07 CEST by the dblp team



