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Conferences in DBLP

Evolutionary Multi-Criterion Optimization (emo)
2006 (conf/emo/2006)

  1. Hirotaka Nakayama
    Aspiration Level Methods in Interactive Multi-objective Programming and Their Engineering Applications (Abstract of Invited Talk). [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:1- [Conf]
  2. Kay Chen Tan
    Improving the Efficacy of Multi-objective Evolutionary Algorithms for Real-World Applications (Abstract of Invited Talk). [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:2- [Conf]
  3. Carlos M. Fonseca
    Decision Making in Evolutionary Optimization (Abstract of Invited Talk). [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:3- [Conf]
  4. Gary B. Lamont
    MOEAs in the Design of Network Centric Systems (Abstract of Invited Talk). [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:4- [Conf]
  5. Hiroyuki Sato, Hernán E. Aguirre, Kiyoshi Tanaka
    Controlling Dominance Area of Solutions and Its Impact on the Performance of MOEAs. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:5-20 [Conf]
  6. Christian Grimme, Joachim Lepping
    Designing Multi-objective Variation Operators Using a Predator-Prey Approach. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:21-35 [Conf]
  7. Günter Rudolph, Boris Naujoks, Mike Preuss
    Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:36-50 [Conf]
  8. Hisao Ishibuchi, Yusuke Nojima
    Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:51-65 [Conf]
  9. Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta, Abhishek Kumar Mall
    Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:66-80 [Conf]
  10. Michael Kirley, Robert L. Stewart
    Multiobjective Evolutionary Algorithms on Complex Networks. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:81-95 [Conf]
  11. Pradyumn Kumar Shukla
    On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:96-110 [Conf]
  12. Martin Lukasiewycz, Michael Glaß, Christian Haubelt, Jürgen Teich
    Symbolic Archive Representation for a Fast Nondominance Test. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:111-125 [Conf]
  13. Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabé Dorronsoro, Enrique Alba
    Design Issues in a Multiobjective Cellular Genetic Algorithm. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:126-140 [Conf]
  14. Hamidreza Eskandari, Christopher D. Geiger, Gary B. Lamont
    FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:141-155 [Conf]
  15. Ken Harada, Jun Sakuma, Isao Ono, Shigenobu Kobayashi
    Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:156-170 [Conf]
  16. Christian Igel, Thorsten Suttorp, Nikolaus Hansen
    Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:171-185 [Conf]
  17. 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. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:186-200 [Conf]
  18. Tadahiko Murata, Ryota Itai
    Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:201-215 [Conf]
  19. Kenji Kobayashi, Tomoyuki Hiroyasu, Mitsunori Miki
    Mechanism of Multi-Objective Genetic Algorithm for Maintaining the Solution Diversity Using Neural Network. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:216-226 [Conf]
  20. Yi Jack Yau, Jason Teo, Patricia Anthony
    Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:227-241 [Conf]
  21. Peter Dawson, Geoffrey T. Parks, Daniel Jaeggi, Arturo Molina-Cristobal, P. John Clarkson
    The Development of a Multi-threaded Multi-objective Tabu Search Algorithm. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:242-256 [Conf]
  22. Tea Tusar, Bogdan Filipic
    Differential Evolution versus Genetic Algorithms in Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:257-271 [Conf]
  23. Gregorio Toscano Pulido, Carlos A. Coello Coello, Luis V. Santana-Quintero
    EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:272-285 [Conf]
  24. Zhihua Cai, Wenyin Gong, Yongqin Huang
    A Novel Differential Evolution Algorithm Based on epsilon -Domination and Orthogonal Design Method for Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:286-301 [Conf]
  25. Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
    Molecular Dynamics Optimizer. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:302-316 [Conf]
  26. Yeboon Yun, Hirotaka Nakayama, Min Yoon
    Sequential Approximation Method in Multi-objective Optimization Using Aspiration Level Approach. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:317-329 [Conf]
  27. 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. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:330-345 [Conf]
  28. Swee Chiang Chiam, Kay Chen Tan, Abdullah Al Mamun
    Multiobjective Evolutionary Neural Networks for Time Series Forecasting. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:346-360 [Conf]
  29. Andy Pryke, Sanaz Mostaghim, Alireza Nazemi
    Heatmap Visualization of Population Based Multi Objective Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:361-375 [Conf]
  30. In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang
    Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:376-385 [Conf]
  31. Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi
    ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:386-400 [Conf]
  32. Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca
    Multi-objective Evolutionary Algorithms for Resource Allocation Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:401-416 [Conf]
  33. Gustavo Sánchez, Minaya Villasana, Miguel Strefezza
    Multi-objective Pole Placement with Evolutionary Algorithms. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:417-427 [Conf]
  34. Waldo Cancino, Alexandre C. B. Delbem
    A Multi-objective Evolutionary Approach for Phylogenetic Inference. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:428-442 [Conf]
  35. Raziyeh Farmani, Dragan A. Savic, Godfrey A. Walters
    On Convergence of Multi-objective Pareto Front: Perturbation Method. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:443-456 [Conf]
  36. Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi
    Combinatorial Optimization of Stochastic Multi-objective Problems: An Application to the Flow-Shop Scheduling Problem. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:457-471 [Conf]
  37. Hosang Jung, F. Frank Chen
    Evolutionary Algorithm Based Corrective Process Control System in Glass Melting Process. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:472-485 [Conf]
  38. Eduardo G. Carrano, Ricardo H. C. Takahashi, Carlos M. Fonseca, Oriane M. Neto
    Bi-objective Combined Facility Location and Network Design. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:486-500 [Conf]
  39. Joseph M. Pasia, Xavier Gandibleux, Karl F. Doerner, Richard F. Hartl
    Local Search Guided by Path Relinking and Heuristic Bounds. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:501-515 [Conf]
  40. Alan P. Reynolds, Beatriz de la Iglesia
    Rule Induction for Classification Using Multi-objective Genetic Programming. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:516-530 [Conf]
  41. Fermín Mallor-Gímenez, Rosa Blanco, Cristina Azcárate
    Combining Linear Programming and Multiobjective Evolutionary Computation for Solving a Type of Stochastic Knapsack Problem. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:531-545 [Conf]
  42. Yufeng Guo, Ed Keedwell, Godfrey A. Walters, Soon-Thiam Khu
    Hybridizing Cellular Automata Principles and NSGAII for Multi-objective Design of Urban Water Networks. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:546-559 [Conf]
  43. Rié Komuro, Joel H. Reynolds, E. David Ford
    Using Multiobjective Evolutionary Algorithms to Assess Biological Simulation Models. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:560-574 [Conf]
  44. David Greiner, José M. Emperador, Gabriel Winter, Blas Galván
    Improving Computational Mechanics Optimum Design Using Helper Objectives: An Application in Frame Bar Structures. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:575-589 [Conf]
  45. 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. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:590-603 [Conf]
  46. Rafal Kicinger, Shigeru Obayashi, Tomasz Arciszewski
    Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:604-618 [Conf]
  47. Mattia Ciprian, Valentino Pediroda, Carlo Poloni
    Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:619-632 [Conf]
  48. Silvia Poles, Paolo Geremia, F. Campos, S. Weston, M. Islam
    MOGA-II for an Automotive Cooling Duct Optimization on Distributed Resources. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:633-644 [Conf]
  49. Hirotaka Kaji, Hajime Kita
    Individual Evaluation Scheduling for Experiment-Based Evolutionary Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:645-659 [Conf]
  50. Shinya Watanabe, Kazutoshi Sakakibara
    A Multiobjectivization Approach for Vehicle Routing Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:660-672 [Conf]
  51. Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon, Hajime Kita
    Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:673-686 [Conf]
  52. Martin Josef Geiger, Wolf Wenger
    On the Interactive Resolution of Multi-objective Vehicle Routing Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:687-699 [Conf]
  53. Evan J. Hughes
    Radar Waveform Optimisation as a Many-Objective Application Benchmark. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:700-714 [Conf]
  54. André Sülflow, Nicole Drechsler, Rolf Drechsler
    Robust Multi-Objective Optimization in High Dimensional Spaces. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:715-726 [Conf]
  55. Mario Köppen, Kaori Yoshida
    Substitute Distance Assignments in NSGA-II for Handling Many-objective Optimization Problems. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:727-741 [Conf]
  56. Tobias Wagner, Nicola Beume, Boris Naujoks
    Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:742-756 [Conf]
  57. Joshua D. Knowles, David Corne
    Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:757-771 [Conf]
  58. 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. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:772-787 [Conf]
  59. Kalyanmoy Deb, Shamik Chaudhuri
    I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:788-802 [Conf]
  60. 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. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:803-817 [Conf]
  61. Hirotaka Kaji, Hajime Kita
    Acceleration of Experiment-Based Evolutionary Multi-objective Optimization Using Fitness Estimation. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:818-831 [Conf]
  62. Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward P. K. Tsang
    Prediction-Based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:832-846 [Conf]
  63. Gideon Avigad
    multi-Multi-Objective Optimization Problem and Its Solution by a MOEA. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:847-861 [Conf]
  64. Eckart Zitzler, Dimo Brockhoff, Lothar Thiele
    The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:862-876 [Conf]
  65. Wolfgang Ponweiser, Markus Vincze
    The Multiple Multi Objective Problem - Definition, Solution and Evaluation. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:877-892 [Conf]
  66. Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan
    Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:893-907 [Conf]
  67. Salem F. Adra, Ian Griffin, Peter J. Fleming
    A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:908-921 [Conf]
  68. Michael T. M. Emmerich, André H. Deutz
    Test Problems Based on Lamé Superspheres. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:922-936 [Conf]
  69. Felipe Campelo, Frederico G. Guimarães, Hajime Igarashi
    Overview of Artificial Immune Systems for Multi-objective Optimization. [Citation Graph (0, 0)][DBLP]
    EMO, 2006, pp:937-951 [Conf]
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