4. EMO 2006:
Matsushima,
Japan
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 BibTeX
Invited Talks
Algorithm Design
- Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka:
Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs.
5-20
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- Christian Grimme, Joachim Lepping:
Designing Multi-objective Variation Operators Using a Predator-Prey Approach.
21-35
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- Günter Rudolph, Boris Naujoks, Mike Preuss:
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets.
36-50
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- Hisao Ishibuchi, Yusuke Nojima:
Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization.
51-65
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- Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall:
Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms.
66-80
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- Michael Kirley, Robert L. Stewart:
Multiobjective Evolutionary Algorithms on Complex Networks.
81-95
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- Pradyumn Kumar Shukla:
On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization.
96-110
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Algorithm Improvements
- Martin Lukasiewycz, Michael Glaß, Christian Haubelt, Jürgen Teich:
Symbolic Archive Representation for a Fast Nondominance Test.
111-125
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- Antonio J. Nebro, Juan José Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba:
Design Issues in a Multiobjective Cellular Genetic Algorithm.
126-140
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- Hamidreza Eskandari, Christopher D. Geiger, Gary B. Lamont:
FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems.
141-155
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- Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi:
Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator.
156-170
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- Christian Igel, Thorsten Suttorp, Nikolaus Hansen:
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES.
171-185
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- 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
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- Tadahiko Murata, Ryota Itai:
Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems.
201-215
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- Kenji Kobayashi, Tomoyuki Hiroyasu, Mitsunori Miki:
Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network.
216-226
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Alternative Methods
- Yi Jack Yau, Jason Teo, Patricia Anthony:
Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis.
227-241
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- 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
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- Tea Tusar, Bogdan Filipic:
Differential Evolution versus Genetic Algorithms in Multiobjective Optimization.
257-271
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- Gregorio Toscano Pulido, Carlos A. Coello Coello, Luis V. Santana-Quintero:
EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency.
272-285
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- Zhihua Cai, Wenyin Gong, Yongqin Huang:
A Novel Differential Evolution Algorithm Based on epsilon -Domination and Orthogonal Design Method for Multiobjective Optimization.
286-301
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- Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
Molecular Dynamics Optimizer.
302-316
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Applications
- Yeboon Yun, Hirotaka Nakayama, Min Yoon:
Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach.
317-329
Electronic Edition (link) BibTeX
- 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
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- Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun:
Multiobjective Evolutionary Neural Networks for Time Series Forecasting.
346-360
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- Andy Pryke, Sanaz Mostaghim, Alireza Nazemi:
Heatmap Visualization of Population Based Multi Objective Algorithms.
361-375
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- In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang:
Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm.
376-385
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- Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi:
ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization.
386-400
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- Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca:
Multi-objective Evolutionary Algorithms for Resource Allocation Problems.
401-416
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- Gustavo Sánchez, Minaya Villasana, Miguel Strefezza:
Multi-objective Pole Placement with Evolutionary Algorithms.
417-427
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- Waldo Cancino Ticona, Alexandre C. B. Delbem:
A Multi-objective Evolutionary Approach for Phylogenetic Inference.
428-442
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- Raziyeh Farmani, Dragan A. Savic, Godfrey A. Walters:
On Convergence of Multi-objective Pareto Front: Perturbation Method.
443-456
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- 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
Electronic Edition (link) BibTeX
- Hosang Jung, F. Frank Chen:
Evolutionary Algorithm Based Corrective Process Control System in Glass Melting Process.
472-485
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- Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto:
Bi-objective Combined Facility Location and Network Design.
486-500
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- Joseph M. Pasia, Xavier Gandibleux, Karl F. Doerner, Richard F. Hartl:
Local Search Guided by Path Relinking and Heuristic Bounds.
501-515
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- Alan P. Reynolds, Beatriz de la Iglesia:
Rule Induction for Classification Using Multi-objective Genetic Programming.
516-530
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- Fermín Mallor-Gímenez, Rosa Blanco, Cristina Azcárate:
Combining Linear Programming and Multiobjective Evolutionary Computation for Solving a Type of Stochastic Knapsack Problem.
531-545
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- 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
Electronic Edition (link) BibTeX
- Rié Komuro, Joel H. Reynolds, E. David Ford:
Using Multiobjective Evolutionary Algorithms to Assess Biological Simulation Models.
560-574
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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
Electronic Edition (link) BibTeX
- 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
Electronic Edition (link) BibTeX
- Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszewski:
Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings.
604-618
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- Mattia Ciprian, Valentino Pediroda, Carlo Poloni:
Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization.
619-632
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- Silvia Poles, Paolo Geremia, F. Campos, S. Weston, M. Islam:
MOGA-II for an Automotive Cooling Duct Optimization on Distributed Resources.
633-644
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- Hirotaka Kaji, Hajime Kita:
Individual Evaluation Scheduling for Experiment-Based Evolutionary Multi-objective Optimization.
645-659
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- Shinya Watanabe, Kazutoshi Sakakibara:
A Multiobjectivization Approach for Vehicle Routing Problems.
660-672
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- Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon, Hajime Kita:
Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization.
673-686
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- Martin Josef Geiger, Wolf Wenger:
On the Interactive Resolution of Multi-objective Vehicle Routing Problems.
687-699
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- Evan J. Hughes:
Radar Waveform Optimisation as a Many-Objective Application Benchmark.
700-714
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Many Objectives
Objective Handling
Performance Assessments
- Gideon Avigad:
multi-Multi-Objective Optimization Problem and Its Solution by a MOEA.
847-861
Electronic Edition (link) BibTeX
- Eckart Zitzler, Dimo Brockhoff, Lothar Thiele:
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration.
862-876
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- Wolfgang Ponweiser, Markus Vincze:
The Multiple Multi Objective Problem - Definition, Solution and Evaluation.
877-892
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- Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan:
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer.
893-907
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- Salem F. Adra, Ian Griffin, Peter J. Fleming:
A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation.
908-921
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- Michael T. M. Emmerich, André H. Deutz:
Test Problems Based on Lamé Superspheres.
922-936
Electronic Edition (link) BibTeX
- Felipe Campelo, Frederico G. Guimarães, Hajime Igarashi:
Overview of Artificial Immune Systems for Multi-objective Optimization.
937-951
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Copyright © Sat May 16 23:09:19 2009
by Michael Ley (ley@uni-trier.de)
