Invited Paper

• 
  Narendra Karmarkar: Beyond Convexity: New Perspectives in Computational Optimization. 1-23

Theoretical Developments

• 
  Dimo Brockhoff: Optimal µ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results. 24-34
• 
  Ramnik Arora, Utkarsh Upadhyay, Rupesh Tulshyan, Joydeep Dutta: A Parallel Algorithm for Solving Large Convex Minimax Problems. 35-44
• 
  Mahshid Majd, Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi: Towards Efficient and Effective Negative Selection Algorithm: A Convex Hull Representation Scheme. 45-54
• 
  Farzaneh Shoeleh, Ali Hamzeh, Sattar Hashemi: To Handle Real Valued Input in XCS: Using Fuzzy Hyper-trapezoidal Membership in Classifier Condition. 55-64
• 
  Xin Zhao, Dongmei Wu, Yichun Yeh, Harutoshi Ogai: Development of Optimal Control System for Safe Distance of Platooning Using Model Predictive Control. 65-74
• 
  G. Jeyakumar, C. Shunmuga Velayutham: A Comparative Study on Theoretical and Empirical Evolution of Population Variance of Differential Evolution Variants. 75-79
• 
  Karel Crombecq, Tom Dhaene: Generating Sequential Space-Filling Designs Using Genetic Algorithms and Monte Carlo Methods. 80-84

Evolutionary Algorithms and Applications

• 
  Jinghui Zhong, Jun Zhang, Zhun Fan: MP-EDA: A Robust Estimation of Distribution Algorithm with Multiple Probabilistic Models for Global Continuous Optimization. 85-94
• 
  Amit Saha, Kalyanmoy Deb: A Bi-criterion Approach to Multimodal Optimization: Self-adaptive Approach. 95-104
• 
  Deepak Sharma: On the Flexible Applied Boundary and Support Conditions of Compliant Mechanisms Using Customized Evolutionary Algorithm. 105-114
• 
  Marcus Randall, Andrew Lewis: Intensification Strategies for Extremal Optimisation. 115-124
• 
  Helio J. C. Barbosa, Afonso C. C. Lemonge, Leonardo Goliatt da Fonseca, Heder S. Bernardino: Comparing Two Constraint Handling Techniques in a Binary-Coded Genetic Algorithm for Optimization Problems. 125-134
• 
  Kun Wang, Vinh Bui, Hussein A. Abbass: Evolving Stories: Tree Adjoining Grammar Guided Genetic Programming for Complex Plot Generation. 135-145
• 
  Nikhil Padhye, Piyush Bhardawaj, Kalyanmoy Deb: Improving Differential Evolution by Altering Steps in EC. 146-155
• 
  Frédéric Lardeux, Adrien Goëffon: A Dynamic Island-Based Genetic Algorithms Framework. 156-165
• 
  Zhi-hui Zhan, Jun Zhang, Zhun Fan: Solving the Optimal Coverage Problem in Wireless Sensor Networks Using Evolutionary Computation Algorithms. 166-176
• 
  Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam: A Comparative Study of Different Variants of Genetic Algorithms for Constrained Optimization. 177-186
• 
  D. Shi, M. Loomes, M. N. Nguyen: Evolutionary FCMAC-BYY Applied to Stream Data Analysis. 187-194
• 
  Surya Pratap Singh, Ramalingam Anantharaj, Tamal Banerjee: UNIFAC Group Interaction Prediction for Ionic Liquid-Thiophene Based Systems Using Genetic Algorithm. 195-204
• 
  Abhinav Malhotra, Varun Aggarwal: HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design. 205-214
• 
  Ruochen Liu, Qifeng Lei, Jing Liu, Licheng Jiao: A Population Diversity-Oriented Gene Expression Programming for Function Finding. 215-219

Learning Methodologies

• 
  Martin Holena, David Linke, Uwe Rodemerck: Evolutionary Optimization of Catalysts Assisted by Neural-Network Learning. 220-229
• 
  Ilya Loshchilov, Marc Schoenauer, Michèle Sebag: Dominance-Based Pareto-Surrogate for Multi-Objective Optimization. 230-239
• 
  Anna Piwonska, Franciszek Seredynski: Learning Cellular Automata Rules for Pattern Reconstruction Task. 240-249
• 
  Adam Ghandar, Zbigniew Michalewicz, Frank Neumann: Evolving Fuzzy Rules: Evaluation of a New Approach. 250-259
• 
  Marconi de Arruda Pereira, Clodoveu Augusto Davis Jr., João Antônio de Vasconcelos: A Niched Genetic Programming Algorithm for Classification Rules Discovery in Geographic Databases. 260-269
• 
  S. Chokkalingham, N. Chandrasekhar, M. Vasudevan: Artificial Neural Network Modeling for Estimating the Depth of Penetration and Weld Bead Width from the Infra Red Thermal Image of the Weld Pool during A-TIG Welding. 270-278
• 
  Hitoshi Iima, Yasuaki Kuroe: Swarm Reinforcement Learning Method Based on an Actor-Critic Method. 279-288
• 
  Nugroho Fredivianus, Holger Prothmann, Hartmut Schmeck: XCS Revisited: A Novel Discovery Component for the eXtended Classifier System. 289-298
• 
  Paul Grouchy, Gabriele M. T. D'Eleuterio: Supplanting Neural Networks with ODEs in Evolutionary Robotics. 299-308
• 
  Yusuke Nojima, Shingo Mihara, Hisao Ishibuchi: Parallel Distributed Implementation of Genetics-Based Machine Learning for Fuzzy Classifier Design. 309-318
• 
  António Gaspar-Cunha, Fernando Mendes, João Duarte, Armando Vieira, Bernardete Ribeiro, André Ribeiro, João Carvalho das Neves: Multi-Objective Evolutionary Algorithms for Feature Selection: Application in Bankruptcy Prediction. 319-328
• 
  Thamburaj Robinson, Atulya K. Nagar, S. Jebasingh: Tile Pasting P System with Multiple-Edge Pasting. 329-338
• 
  Abhirami Baskaran, Dhivya Karthikeyan, Anusha T. Swamy: Modeling and Automation of Diagnosis and Treatment of Diabetes. 339-348
• 
  Václav Snásel, Pavel Krömer, Jan Platos, Ajith Abraham: The Evolution of Fuzzy Classifier for Data Mining with Applications. 349-358
• 
  Marcus Henrique Soares Mendes, Gustavo Luís Soares, João Antônio de Vasconcelos: PID Step Response Using Genetic Programming. 359-368
• 
  Markus Borschbach, Christian Grelle, Sascha Hauke: Divide and Evolve Driven by Human Strategies. 369-373
• 
  Avnish K. Bhatia, Monika Sodhi, Dinesh K. Yadav, B. Prakash: A Genetic Algorithm for Assigning Individuals to Populations Using Multi-locus Genotyping. 374-378
• 
  Indrani Goswami (Chakraborty), Pradipta Kumar Das, Amit Konar, Ramadoss Janarthanan: Extended Q-Learning Algorithm for Path-Planning of a Mobile Robot. 379-383
• 
  Dharani Punithan, Jerome Marhic, Kangil Kim, Jakramate Bootkrajang, Robert Ian (Bob) McKay, Naoki Mori: An XML Format for Sharing Evolutionary Algorithm Output and Analysis. 384-388
• 
  Moisés Martínez, Gustavo Recio, Pablo García, Emilio Martín, Yago Sáez: Car Setup Optimisation. 389-393

Multi-Objective Evolutionary Algorithms and Applications

• 
  Gideon Avigad, Erella Eisenstadt: Robustness of Multi-objective Optimal Solutions to Physical Deterioration through Active Control. 394-403
• 
  P. K. S. Nain, S. Sharma, J. M. Giri: Non-dimensional Multi-objective Performance Optimization of Single Stage Thermoelectric Cooler. 404-413
• 
  Arup Kumar Nandi, Shubhabrata Datta: Multi-Objective Optimization of Particle Reinforced Silicone Rubber Mould Material for Soft Tooling Process. 414-423
• 
  S. B. D. V. P. S. Anauth, Robert T. F. Ah King: Comparative Application of Multi-Objective Evolutionary Algorithms to the Voltage and Reactive Power Optimization Problem in Power Systems. 424-434
• 
  Rupesh Kumar Srivastava, Kalyanmoy Deb: Bayesian Reliability Analysis under Incomplete Information Using Evolutionary Algorithms. 435-444
• 
  Aditya Arikere, Gurunathan Saravana Kumar, Sandipan Bandyopadhyay: Optimisation of Double Wishbone Suspension System Using Multi-Objective Genetic Algorithm. 445-454
• 
  Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka: Self-Controlling Dominance Area of Solutions in Evolutionary Many-Objective Optimization. 455-465
• 
  Kiyoharu Tagawa, Yukinori Sasaki, Hiroyuki Nakamura: Optimum Design of Balanced SAW Filters Using Multi-Objective Differential Evolution. 466-475
• 
  Yogesh K. Anand, Sanjay Srivastava, Kamal Srivastava: Optimizing the Risk of Occupational Health Hazard in a Multiobjective Decision Environment using NSGA-II. 476-484
• 
  Dilip Datta, Akan Kumar Das: Tuning Process Parameters of Electrochemical Machining Using a Multi-objective Genetic Algorithm: A Preliminary Study. 485-493
• 
  Gideon Avigad, Erella Eisenstadt, Miri Weiss-Cohen: The Optimization versus Survival Problem and Its Solution by an Evolutionary Multi Objective Algorithm. 494-503
• 
  Siddharth Pal, Aniruddha Basak, Swagatam Das, Ponnuthurai N. Suganthan: Synthesis of Difference Patterns for Monopulse Antenna Arrays - An Evolutionary Multi-objective Optimization Approach. 504-513
• 
  K. V. R. B. Prasad, Pravin M. Singru: Performance of Lognormal Probability Distribution in Crossover Operator of NSGA-II Algorithm. 514-522
• 
  Enrico Rigoni, Alessandro Turco: Metamodels for Fast Multi-objective Optimization: Trading Off Global Exploration and Local Exploitation. 523-532
• 
  Shu-Hsien Liao, Chia-Lin Hsieh: Integrated Location-Inventory Retail Supply Chain Design: A Multi-objective Evolutionary Approach. 533-542
• 
  Xinrui Duan, Jing Liu, Li Zhang, Licheng Jiao: Multi-Objective Job Shop Scheduling Based on Multiagent Evolutionary Algorithm. 543-552
• 
  Xinrui Duan, Jing Liu, Ruochen Liu, Licheng Jiao: A Preference Oriented Two-Layered Multiagent Evolutionary Algorithm for Multi-Objective Job Shop Problems. 553-557
• 
  João Batista Mendes, João Antônio de Vasconcelos: Using an Adaptation of a Binary Search Tree to Improve the NSGA-II Nondominated Sorting Procedure. 558-562
• 
  G. N. Sashi Kumar, A. K. Mahendra, A. Sanyal, G. Gouthaman: A Hybrid Method for Multi-Objective Shape Optimization. 563-567
• 
  Indranil Banerjee, Prasun Das: Evolutionary Multi-Objective Bacterial Swarm Optimization (MOBSO): A Hybrid Approach. 568-572
• 
  Ashutosh Tiwari, Christopher Turner, Peter D. Ball, Kostas Vergidis: Multi-Objective Optimisation of Web Business Processes. 573-577
• 
  Vipin K. Tripathi, Hiten M. Chauhan: Multi Objective Optimization of Planetary Gear Train. 578-582
• 
  Piotr Wozniak: Multi-objective Control Systems Design with Criteria Reduction. 583-587
• 
  Vui Ann Shim, Kay Chen Tan, Jun Yong Chia: Probabilistic Based Evolutionary Optimizers in Bi-objective Travelling Salesman Problem. 588-592

Hybrid Algorithms

• 
  Siddharth Pal, Aniruddha Basak, Swagatam Das: Automatic Shape Independent Shell Clustering Using an Ant Based Approach. 593-602
• 
  Cem Celal Tutum, Kalyanmoy Deb, Jesper Henri Hattel: Hybrid Search for Faster Production and Safer Process Conditions in Friction Stir Welding. 603-612
• 
  Vidyut Dey, Dilip Kumar Pratihar, Gauranga Lal Datta: Hybrid Optimization Scheme for Radial Basis Function Neural Network. 613-622
• 
  Muthu Naveen, Shankar Jayaraman, Vinay Ramanath, Shamik Chaudhuri: Modified Levenberg Marquardt Algorithm for Inverse Problems. 623-632
• 
  Rituparna Datta: Constrained Engineering Design Optimization Using a Hybrid Bi-objective Evolutionary-Classical Methodology. 633-637

Industrial Applications

• 
  Robert J. Lygoe, Mark Cary, Peter J. Fleming: A Many-Objective Optimisation Decision-Making Process Applied to Automotive Diesel Engine Calibration. 638-646
• 
  Vineet R. Khare, Halasya Siva Subramania: A Modular Decision-Tree Architecture for Better Problem Understanding. 647-656
• 
  Rahul Caprihan, Jannes Slomp, Gursaran Srivastava, Khushboo Agarwal: Virtual Manufacturing Cell Design Using a PSO Approach with Alternative Neighbourhood Topologies. 657-666
• 
  Wa Si, Harutoshi Ogai, Tansheng Li, Masatoshi Ogawa, Katsumi Hirai, Hidehiro Takahashi: Energy Saving System for Office Lighting by Using PSO and ZigBee Network. 667-676
• 
  Vikas K. Garg, Nukala Viswanadham: EcoSupply: A Machine Learning Framework for Analyzing the Impact of Ecosystem on Global Supply Chain Dynamics. 677-686
• 
  Henrik Saxén, Frank Pettersson: A Data-Mining Method for Detection of Complex Nonlinear Relations Applied to a Model of Apoptosis in Cell Populations. 687-695
• 
  Dhanesh Padmanabhan, Rajkumar Vaidyanathan: An Implementation of Pareto Set Pursuing Technique for Concept Vehicle Design. 696-705
• 
  Vikas K. Garg, M. Narasimha Murty: EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. 706-710
• 
  Vikas K. Garg: Toward Optimal Disk Layout of Genome Scale Suffix Trees. 711-715

last updated on Wed May 22 05:04:21 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page