Invited Talks

• 
  Hirotaka Nakayama: Aspiration Level Methods in Interactive Multi-objective Programming and Their Engineering Applications (Abstract of Invited Talk). 1
• 
  Kay Chen Tan: Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk). 2
• 
  Carlos M. Fonseca: Decision Making in Evolutionary Optimization (Abstract of Invited Talk). 3
• 
  Gary B. Lamont: MOEAs in the Design of Network Centric Systems (Abstract of Invited Talk). 4

Algorithm Design

• 
  Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka: Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs. 5-20
• 
  Christian Grimme, Joachim Lepping: Designing Multi-objective Variation Operators Using a Predator-Prey Approach. 21-35
• 
  Günter Rudolph, Boris Naujoks, Mike Preuss: Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets. 36-50
• 
  Hisao Ishibuchi, Yusuke Nojima: Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. 51-65
• 
  Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall: Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms. 66-80
• 
  Michael Kirley, Robert L. Stewart: Multiobjective Evolutionary Algorithms on Complex Networks. 81-95
• 
  Pradyumn Kumar Shukla: On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization. 96-110

Algorithm Improvements

• 
  Martin Lukasiewycz, Michael Glaß, Christian Haubelt, Jürgen Teich: Symbolic Archive Representation for a Fast Nondominance Test. 111-125
• 
  Antonio J. Nebro, Juan José Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba: Design Issues in a Multiobjective Cellular Genetic Algorithm. 126-140
• 
  Hamidreza Eskandari, Christopher D. Geiger, Gary B. Lamont: FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems. 141-155
• 
  Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi: Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. 156-170
• 
  Christian Igel, Thorsten Suttorp, Nikolaus Hansen: Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. 171-185
• 
  Mark P. Kleeman, Gary B. Lamont, Adam Cooney, Thomas R. Nelson: A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers. 186-200
• 
  Tadahiko Murata, Ryota Itai: Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems. 201-215
• 
  Kenji Kobayashi, Tomoyuki Hiroyasu, Mitsunori Miki: Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network. 216-226

Alternative Methods

• 
  Yi Jack Yau, Jason Teo, Patricia Anthony: Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis. 227-241
• 
  Peter Dawson, Geoffrey T. Parks, Daniel Jaeggi, Arturo Molina-Cristobal, P. John Clarkson: The Development of a Multi-threaded Multi-objective Tabu Search Algorithm. 242-256
• 
  Tea Tusar, Bogdan Filipic: Differential Evolution versus Genetic Algorithms in Multiobjective Optimization. 257-271
• 
  Gregorio Toscano Pulido, Carlos A. Coello Coello, Luis V. Santana-Quintero: EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency. 272-285
• 
  Zhihua Cai, Wenyin Gong, Yongqin Huang: A Novel Differential Evolution Algorithm Based on epsilon -Domination and Orthogonal Design Method for Multiobjective Optimization. 286-301
• 
  Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun: Molecular Dynamics Optimizer. 302-316

Applications

• 
  Yeboon Yun, Hirotaka Nakayama, Min Yoon: Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach. 317-329
• 
  Robert Cook, Arturo Molina-Cristobal, Geoffrey T. Parks, Cuitlahuac Osornio Correa, P. John Clarkson: Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Train and Driving Strategy. 330-345
• 
  Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun: Multiobjective Evolutionary Neural Networks for Time Series Forecasting. 346-360
• 
  Andy Pryke, Sanaz Mostaghim, Alireza Nazemi: Heatmap Visualization of Population Based Multi Objective Algorithms. 361-375
• 
  In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang: Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. 376-385
• 
  Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi: ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization. 386-400
• 
  Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca: Multi-objective Evolutionary Algorithms for Resource Allocation Problems. 401-416
• 
  Gustavo Sánchez, Minaya Villasana, Miguel Strefezza: Multi-objective Pole Placement with Evolutionary Algorithms. 417-427
• 
  Waldo Cancino Ticona, Alexandre C. B. Delbem: A Multi-objective Evolutionary Approach for Phylogenetic Inference. 428-442
• 
  Raziyeh Farmani, Dragan A. Savic, Godfrey A. Walters: On Convergence of Multi-objective Pareto Front: Perturbation Method. 443-456
• 
  Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi: Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem. 457-471
• 
  Hosang Jung, F. Frank Chen: Evolutionary Algorithm Based Corrective Process Control System in Glass Melting Process. 472-485
• 
  Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto: Bi-objective Combined Facility Location and Network Design. 486-500
• 
  Joseph M. Pasia, Xavier Gandibleux, Karl F. Doerner, Richard F. Hartl: Local Search Guided by Path Relinking and Heuristic Bounds. 501-515
• 
  Alan P. Reynolds, Beatriz de la Iglesia: Rule Induction for Classification Using Multi-objective Genetic Programming. 516-530
• 
  Fermín Mallor-Gímenez, Rosa Blanco, Cristina Azcárate: Combining Linear Programming and Multiobjective Evolutionary Computation for Solving a Type of Stochastic Knapsack Problem. 531-545
• 
  Yufeng Guo, Ed Keedwell, Godfrey A. Walters, Soon-Thiam Khu: Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks. 546-559
• 
  Rié Komuro, Joel H. Reynolds, E. David Ford: Using Multiobjective Evolutionary Algorithms to Assess Biological Simulation Models. 560-574

Engineering Design

• 
  David Greiner, José M. Emperador, Gabriel Winter, Blas Galván: Improving Computational Mechanics Optimum Design Using Helper Objectives: An Application in Frame Bar Structures. 575-589
• 
  Oliver Schütze, Laetitia Jourdan, Thomas Legrand, El-Ghazali Talbi, Jean Luc Wojkiewicz: A Multi-objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding. 590-603
• 
  Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszewski: Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings. 604-618
• 
  Mattia Ciprian, Valentino Pediroda, Carlo Poloni: Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization. 619-632
• 
  Silvia Poles, Paolo Geremia, F. Campos, S. Weston, M. Islam: MOGA-II for an Automotive Cooling Duct Optimization on Distributed Resources. 633-644
• 
  Hirotaka Kaji, Hajime Kita: Individual Evaluation Scheduling for Experiment-Based Evolutionary Multi-objective Optimization. 645-659
• 
  Shinya Watanabe, Kazutoshi Sakakibara: A Multiobjectivization Approach for Vehicle Routing Problems. 660-672
• 
  Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon, Hajime Kita: Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization. 673-686
• 
  Martin Josef Geiger, Wolf Wenger: On the Interactive Resolution of Multi-objective Vehicle Routing Problems. 687-699
• 
  Evan J. Hughes: Radar Waveform Optimisation as a Many-Objective Application Benchmark. 700-714

Many Objectives

• 
  André Sülflow, Nicole Drechsler, Rolf Drechsler: Robust Multi-Objective Optimization in High Dimensional Spaces. 715-726
• 
  Mario Köppen, Kaori Yoshida: Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems. 727-741
• 
  Tobias Wagner, Nicola Beume, Boris Naujoks: Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization. 742-756
• 
  Joshua D. Knowles, David Corne: Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. 757-771

Objective Handling

• 
  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. 772-787
• 
  Kalyanmoy Deb, Shamik Chaudhuri: I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods. 788-802
• 
  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. 803-817
• 
  Hirotaka Kaji, Hajime Kita: Acceleration of Experiment-Based Evolutionary Multi-objective Optimization Using Fitness Estimation. 818-831
• 
  Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang: Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. 832-846

Performance Assessments

• 
  Gideon Avigad: multi-Multi-Objective Optimization Problem and Its Solution by a MOEA. 847-861
• 
  Eckart Zitzler, Dimo Brockhoff, Lothar Thiele: The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. 862-876
• 
  Wolfgang Ponweiser, Markus Vincze: The Multiple Multi Objective Problem - Definition, Solution and Evaluation. 877-892
• 
  Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan: Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. 893-907
• 
  Salem F. Adra, Ian Griffin, Peter J. Fleming: A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation. 908-921
• 
  Michael T. M. Emmerich, André H. Deutz: Test Problems Based on Lamé Superspheres. 922-936
• 
  Felipe Campelo, Frederico G. Guimarães, Hajime Igarashi: Overview of Artificial Immune Systems for Multi-objective Optimization. 937-951

last updated on Mon May 20 00:12:31 2013 by the dblp team
data released under the ODC-BY 1.0 license
see also our legal information page