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ORCID4th EMO 2007: Matsushima, Japan
- Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu, Tadahiko Murata:
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
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 Fawaz 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
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