Evolutionary Multiobjective Optimization
Exploiting Gradient Information in Numerical Multi-Objective Evolutionary Optimization
(page 755)
P. A. N. Bosman (Centre for Mathematics and Computer Science)
E. D. de Jong (Utrecht University)
Minimum Spanning Trees Made Easier Via Multi-Objective Optimization
(page 763)
F. Neumann (Christian-Albrechts-University zu Kiel)
I. Wegener (University Dortmund)
A Multi-Objective Genetic Algorithm for Robust Design Optimization
(page 771)
M. Li, S. Azarm, V. Aute (University of Maryland)
Fitness Inheritance For Noisy Evolutionary Multi-Objective Optimization
(page 779)
L. T. Bui, H. A. Abbass, D. Essam (University of New South Wales)
Comparison
of Evolutionary Multiobjective Optimization with Reference Solution-Based Single-Objective Approach
(page
787) (Return
to Top)
H. Ishibuchi, K. Narukawa
(Osaka Prefecture University)
Evolving Optimal Feature Extraction using Multi-objective
Genetic
Programming: A Methodology and Preliminary Study on Edge Detection
(page 795)
Y. Zhang, P. I. Rockett (University of Sheffield)
Minimizing Total Flowtime and Maximum Earliness on a Single
Machine Using Multiple Measures of Fitness
(page 803)
M. E. Kurz, S. Canterbury (Clemson University)
A Scalable Parallel Genetic Algorithm for X-ray Spectroscopic Analysis
(page 811)
K. Xu, S. J. Louis, R. C. Mancini (University of Nevada, Reno)
An Empirical Study on the Handling of Overlapping Solutions
in Evolutionary Multiobjective Optimization
(page 817)
H. Ishibuchi, K. Narukawa, Y. Nojima (Osaka Prefecture University)
Evolutionary Multiobjective Optimization:
Posters
Using Predators and Preys in Evolution Strategies
(page 827)
K. Schmitt, J. Mehnen, T. Michelitsch (University of Dortmund)
The Effectiveness of Multiobjective Optimizer in Single-objective Optimization Environment
(page 829)
S. Watanabe, K. Sakakibara (Ritsumeikan University)
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