default search action
2nd EMO 2003: Faro, Portugal
- Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele:
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
Objective Handling and Problem Decomposition
- Richard Balling:
The Maximin Fitness Function; Multi-objective City and Regional Planning. 1-15 - Robin C. Purshouse, Peter J. Fleming:
Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation. 16-30 - Els I. Ducheyne, Bernard De Baets, Robert R. De Wulf:
Is Fitness Inheritance Useful for Real-World Applications? 31-42 - Xavier Gandibleux, Hiroyuki Morita, Naoki Katoh:
Use of a Genetic Heritage for Solving the Assignment Problem with Two Objectives. 43-57 - Marco Farina, Paolo Amato:
Fuzzy Optimality and Evolutionary Multiobjective Optimization. 58-72 - Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga, Carlos A. Coello Coello:
IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts. 73-87 - Vincent Barichard, Jin-Kao Hao:
A Population and Interval Constraint Propagation Algorithm. 88-101 - Evan J. Hughes:
Multi-objective Binary Search Optimisation. 102-117 - Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz, Jürgen Teich:
Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques. 118-132 - Robin C. Purshouse, Peter J. Fleming:
An Adaptive Divide-and-ConquerMethodology forEvolutionary Multi-criterion Optimisation. 133-147 - Subroto Gunawan, Ali Farhang-Mehr, Shapour Azarm:
Multi-level Multi-objective Genetic Algorithm Using Entropy to Preserve Diversity. 148-161 - Christian Haubelt, Sanaz Mostaghim, Jürgen Teich, Ambrish Tyagi:
Solving Hierarchical Optimization Problems Using MOEAs. 162-176 - David J. Caswell, Gary B. Lamont:
Multiobjective Meta Level Optimization of a Load Balancing Evolutionary Algorithm. 177-191
Algorithm Improvements
- Skander Kort:
Schemata-Driven Multi-objective Optimization. 192-206 - Xiaodong Li:
A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization. 207-221 - Kalyanmoy Deb, Manikanth Mohan, Shikhar Mishra:
Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions. 222-236 - Yaochu Jin, Bernhard Sendhoff:
Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach. 237-251
Online Adaptation
- Gregorio Toscano Pulido, Carlos A. Coello Coello:
The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization. 252-266 - Dirk Büche, Sibylle D. Müller, Petros Koumoutsakos:
Self-Adaptation for Multi-objective Evolutionary Algorithms. 267-281 - Mario Costa, Edmondo A. Minisci:
MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems. 282-294
Test Problem Construction
- Joshua D. Knowles, David Corne:
Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem. 295-310 - Marco Farina, Kalyanmoy Deb, Paolo Amato:
Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications. 311-326 - David Corne, Joshua D. Knowles:
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems. 327-341
Performance Analysis and Comparison
- Zhenyu Yan, Linghai Zhang, Lishan Kang, Guangming Lin:
A New MOEA for Multi-objective TSP and Its Convergence Property Analysis. 342-354 - Dirk Thierens:
Convergence Time Analysis for the Multi-objective Counting Ones Problem. 355-364 - Jeffrey Horn:
Niche Distributions on the Pareto Optimal Front. 365-375 - Vineet R. Khare, Xin Yao, Kalyanmoy Deb:
Performance Scaling of Multi-objective Evolutionary Algorithms. 376-390 - Hussein A. Abbass, Kalyanmoy Deb:
Searching under Multi-evolutionary Pressures. 391-404 - Ali Farhang-Mehr, Shapour Azarm:
Minimal Sets of Quality Metrics. 405-417 - Andrew Wildman, Geoffrey T. Parks:
A Comparative Study of Selective Breeding Strategies in a Multiobjective Genetic Algorithm. 418-432 - Hisao Ishibuchi, Youhei Shibata:
An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms. 433-447
Alternative Methods
- Jeroen C. J. H. Aerts, Marjan van Herwijnen, Theodor J. Stewart:
Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem. 448-463 - Michael Guntsch, Martin Middendorf:
Solving Multi-criteria Optimization Problems with Population-Based ACO. 464-478 - Luís Paquete, Thomas Stützle:
A Two-Phase Local Search for the Biobjective Traveling Salesman Problem. 479-493
Implementation
- Stefan Bleuler, Marco Laumanns, Lothar Thiele, Eckart Zitzler:
PISA: A Platform and Programming Language Independent Interface for Search Algorithms. 494-508 - Oliver Schütze:
A New Data Structure for the Nondominance Problem in Multi-objective Optimization. 509-518 - M. Fleischer:
The Measure of Pareto Optima. 519-533 - Kalyanmoy Deb, Pawan Zope, Abhishek Jain:
Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms. 534-549
Applications
- Philippe Lacomme, Christian Prins, Marc Sevaux:
Multiobjective Capacitated Arc Routing Problem. 550-564 - Shinya Watanabe, Tomoyuki Hiroyasu, Mitsunori Miki:
Multi-objective RectangularPacking Problem and Its Applications. 565-577 - Carlos A. Brizuela, Rodrigo Aceves:
Experimental Genetic Operators Analysis for the Multi-objective Permutation Flowshop. 578-592 - Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi, Mitsuo Gen:
Modification of Local Search Directions for Non-dominated Solutions in CellularMultiobjective Genetic Algorithms forPattern Classification Problems. 593-607 - Hisao Ishibuchi, Takashi Yamamoto:
Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems. 608-622 - Abbadi Raji Reddy, Kalyanmoy Deb:
Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms. 623-637 - Francisco de Toro, Eduardo Ros, Sonia Mota, Julio Ortega:
Non-invasive Atrial Disease Diagnosis Using Decision Rules: A Multi-objective Optimization Approach. 638-647 - Michael Lahanas, Eduard Schreibmann, Natasa Milickovic, Dimos Baltas:
Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms. 648-661 - Peter B. Cheung, Luisa F. R. Reis, Klebber T. M. Formiga, Fazal H. Chaudhry, Waldo Gonzalo Cancino Ticona:
Multiobjective Evolutionary Algorithms Applied to the Rehabilitation of a Water Distribution System: A Comparative Study. 662-676 - Klebber T. M. Formiga, Fazal H. Chaudhry, Peter B. Cheung, Luisa F. R. Reis:
Optimal Design of WaterDistribution System by Multiobjective Evolutionary Methods. 677-691 - Jason L. Dorn, S. Ranji Ranjithan:
Evolutionary Multiobjective Optimization in Watershed Water Quality Management. 692-706 - Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch, Gary B. Lamont:
Different Multi-objective Evolutionary Programming Approaches for Detecting Computer Network Attacks. 707-721 - David Greiner, Blas Galván, Gabriel Winter:
Safety Systems Optimum Design by Multicriteria Evolutionary Algorithms. 722-736 - Johan Andersson:
Applications of a Multi-objective Genetic Algorithm to Engineering Design Problems. 737-751 - António Gaspar-Cunha, José A. Covas:
A Real-World Test Problem for EMO Algorithms. 752-766 - J. F. Aguilar Madeira, H. Rodrigues, Heitor Pina:
Genetic Methods in Multi-objective Optimization of Structures with an Equality Constraint on Volume. 767-781 - Lars Willmes, Thomas Bäck:
Multi-criteria Airfoil Design with Evolution Strategies. 782-795 - Shigeru Obayashi, Daisuke Sasaki:
Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map. 796-809
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.