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EMO
2006
Springer
107views Optimization» more  EMO 2006»
15 years 6 months ago
Designing Multi-objective Variation Operators Using a Predator-Prey Approach
In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. ...
Christian Grimme, Joachim Lepping
EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 6 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
106
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EMO
2006
Springer
161views Optimization» more  EMO 2006»
15 years 6 months ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
EMO
2006
Springer
68views Optimization» more  EMO 2006»
15 years 6 months ago
Multi-objective Evolutionary Algorithms for Resource Allocation Problems
Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca
EMO
2006
Springer
110views Optimization» more  EMO 2006»
15 years 6 months ago
Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets
Recent works in evolutionary multiobjective optimization suggest to shift the focus from solely evaluating optimization success in the objective space to also taking the decision s...
Günter Rudolph, Boris Naujoks, Mike Preuss