The following papers are the accepted papers for EMO 2007.
  1. Evolutionary Multiobjective Optimization of Quantization in JPEG Image Compression
    • M. Farina and A. Bruna
  2. A Novel Differential Evolution Algorithm based on epsilon-domination and orthogonal design method for Multiobjective Optimization
    • Zhihua Cai,Wenyin Gong,Yongqin Huang
  3. Multi Criteria Decision Aiding Techniques to select Designs after Robust Design Optimization
    • V. Pediroda, C. Poloni, M. Ciprian
  4. Reliability-Based Multi-Objective Optimization Using Evolutionary Algorithm
    • Kalyanmoy Deb,Dhanesh Padmanabhan,Sulabh Gupta, and Abhishek Kumar Mall
  5. Multi-Objective Evolutionary Algorithms for Resource Allocation Problems
    • Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca
  6. Evolutionary Multiobjective Meta-Optimization of Support Vector Machines in Face recognition
    • M. Farina and G. Palmas
  7. Pareto Evolution and Co-Evolution in Cognitive Game AI Synthesis
    • Yi Jack Yau, Jason Teo, and Patricia Anthony
  8. The Development of a Multi-threaded Multi-objective Tabu Search Algorithm
    • Dr Geoff Parks
  9. Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Trainand Driving Strategy
    • Dr Geoff Parks
  10. The Multiple Multi Objective Problem - Definition, Solution and Evaluation
    • Wolfgang Ponweiser and Markus Vincze
  11. Dynamic Multi-Objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-Thermal Power Scheduling
    • Kalyanmoy Deb, Udaya Bhaskara Rao N., and S. Karthik
  12. Robust Multi-Objective Optimization in High Dimensional Spaces
    • Andre Suelflow and Nicole Drechsler and Rolf Drechsler
  13. Molecular Dynamics Optimizer
    • Swee Chiang Chiam, Kay Chen Tan and Abdullah Al Mamun
  14. Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer
    • Swee Chiang Chiam, Chi Keong Goh and Kay Chen Tan
  15. Multi-Objective Pole Placement with Evolutionary Algortihms
    • Gustavo Sanchez
  16. Symbolic Archive Representation for a Fast Nondominance Test
    • Martin Lukasiewycz, Michael Glass, Christian Haubelt, and Juergen Teich
  17. Sequential Approximation Method in Multi-Objective Optimization using Aspiration Level Approach
    • Yeboon Yun, Hirotaka Nakayama, Min Yoon
  18. Design Issues in a Multiobjective Cellular Genetic Algorithm
    • Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabe Dorronsoro, Enrique Alba
  19. On Convergence of multiobjective pareto front: perturbation method
    • Raziyeh Farmani, Dragan Savic, Godfrey Walters
  20. FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective Optimization Problems
    • Hamidreza Eskandari
  21. Constraint-Handling Method for Multi-Objective Function Optimization: Pareto Descent Repair Operator
    • Ken Harada, Jun Sakuma, Isao Ono, and Shigenobu Kobayashi
  22. Multi-Objective Combinatorial Optimization for Stochastic Problems: an Application to the Flow-Shop Scheduling Problem
    • Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi
  23. MOEO: A Framework for Evolutionary Multi-objective Optimization
    • Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan, El-Ghazali Talbi
  24. Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-Objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding
    • Dhish Kumar Saxena and Kalyanmoy Deb
  25. MOGA-II for an Automotive Cooling Duct Optimization on Distributed Resources
    • S. Poles, P. Geremia, et al.
  26. I-MODE: An Interactive Multi-Objective Optimization and Decision-Making using Evolutionary Methods
    • Kalyanmoy Deb and Shamik Chaudhuri
  27. Multiobjective Evolutionary Neural Networks for Time Series Forecasting
    • Swee Chiang Chiam, Kay Chen Tan and Abdullah Al Mamun
  28. Evolutionary Algorithm based Corrective Process Control System in Glass Melting Process
    • Hosang Jung and F. Frank Chen
  29. Improving Computational Mechanics Optimum Design using Helper Objectives: An Application in Frame Bar Structures
    • David Greiner, Jose M. Emperador, Gabriel Winter, Blas Galvan
  30. Bi-objective Combined Facility Location and Network Design
    • Eduardo Gontijo Carrano
  31. A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation
    • Salem F Adra, Ian Griffin, Peter J Fleming
  32. Initial Population Constructed, Heuristic Bound Sets and Path Relinking Operators for a Bi-objective Flowshop Scheduling Problem
    • Joseph M. Pasia, Xavier Gandibleux, Karl F. Doerner, Richard F. Hartl
  33. Acceleration of Experiment-based Evolutionary Multi-objective Optimization using Fitness Estimation
    • Hirotaka Kaji and Hajime Kita
  34. Individual Evaluation Scheduling for Experiment-based Evolutionary Multi-objective Optimization
    • Hirotaka Kaji and Hajime Kita
  35. Controlling Dominance Area of Solutions and its Impact on the Performance of MOEAs
    • Hiroyuki Sato, Hernan Aguirre, and Kiyoshi Tanaka
  36. Mechanism of Multi-Objective Genetic Algorithm for maintaining the solution diversity using Neural Network
    • Kenji Kobayashi , Tomoyuki Hiroyasu, Mitsunori Miki
  37. A multiobjectivization approach for vehicle routing problems
    • Shinya Watanabe and Kazutoshi Sakakibara
  38. Multiobjective evolutionary algorithms on complex networks
    • Michael Kirley and Robert Stewart
  39. Test Problems Based on Lame's Superspheres
    • Michael T.M. Emmerich, Andre H. Deutz
  40. Substitute Distance Assignments in NSGA-II for handling Many-objective Optimization Problems
    • Mario Koeppen and Kaori Yoshida
  41. A Multi-Objective Approach to the Design of Conducting Polymer Composites for Electromagnetic Shielding
    • Oliver Sch‡‘4ze and Laetitia Jourdan and Thomas Legrand and El-Ghazali Talbi and Jean Luc Wojkiewicz
  42. Differential Evolution versus Genetic Algorithms in Multiobjective Optimization
    • Tea Tusar and Bogdan Filipic
  43. Designing Traffic-Sensitive Controllers for Multi-Car Elevators through Evolurtionary Multi-Objective Optimization
    • Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon and Hajime Kita
  44. On the interactive resolution of multi-objective vehicle routing problems
    • Martin Josef Geiger, Wolf Wenger
  45. Rule Induction for Classification Using Multi-Objective Genetic Programming
    • A. P. Reynolds and B. de la Iglesia
  46. Prediction-based Population Re-initialization for Evolutionary Dynamic Multi-objective Optimization
    • Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff, Edward Tsang
  47. Designing Multi-Objective Variation Operators Using a Predator-Prey Approach
    • Christian Grimme and Joachim Lepping
  48. Overview of artificial immune systems for multi-objective optimization
    • Felipe Campelo, Frederico G. Guimaraes, and Hajime Igarashi
  49. Steady-state Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
    • Christian Igel, Thorsten Suttorp, Nikolaus Hansen
  50. Heatmap Visualisation of Population Based Multi Objective Algorithms
    • Andy Pryke, Sanaz Mostaghim, Alireza Nazemi
  51. Combining linear programming and multiobjective evolutionary computation for solving a type of stochastic knapsack problem
    • Mallor, F.; Blanco, R.; Azcarate, C.
  52. Pareto-, Aggregation-, and Indicator-based Methods in Many-objective Optimization
    • Tobias Wagner, Nicola Beume, and Boris Naujoks
  53. Evolutionary Multiobjective Optimization of Steel Structural Systems in Tall Buildings
    • Rafal Kicinger, Shigeru Obayashi, and Tomasz Arciszewski
  54. Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets
    • G. Rudolph, B. Naujoks and M. Preuss
  55. Radar Waveform Optimisation as a Many-Objective Application Benchmark
    • Evan J Hughes
  56. Hybridizing Cellular Automata principles and NSGAII for multi-objective design of urban water networks
    • Yufeng Guo, Edward C. Keedwell, Godfrey A. Walters, Soon-Thiam Khu
  57. On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-Objective Optimization
    • Pradyumn Kumar Shukla
  58. EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency
    • Gregorio Toscano-Pulido, Carlos A. Coello Coello and Luis Vicente Santana-Quintero
  59. Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm
    • In-Hee Lee and Soo-Yong Shin and Byoung-Tak Zhang
  60. Using Multiobjective Evolutionary Algorithms to Assess Biological Simulation Models
    • Rie Komuro, Joel H. Reynolds, E. David Ford
  61. A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers
    • Mark P. Kleeman, Gary B. Lamont, Adam Cooney, and Thomas R. Nelson
  62. Quantifying the effects of objective space dimension in evolutionary multiobjective optimization
    • Joshua KNOWLES, David CORNE
  63. The Hypervolume Indicator Revisited: On The Design of Pareto-Compliant Indicators and The Kernel Approach
    • Eckart Zitzler, Dimo Brockhoff, and Lothar Thiele
  64. Optimization of Scalarizing Functions through Evolutionary Multiobjective Optimization
    • Hisao Ishibuchi and Yusuke Nojima
  65. Two-Fold Memetic EMO Algorithm to Enhance Solution Similarity in Multi-Objective Vehicle Routing Problems
    • Tadahiko Murata and Ryota Itai
  66. multi-Multi-Objective Optimization Problem and its
    • Gideon Avigad
  67. A Multi-Objective Evolutionary Approach for Phylogenetic Inference
    • Waldo Cancino and A.C.B. Delbem
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