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» Evolutionary multiobjective optimization
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CEC
2007
IEEE
14 years 4 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
14 years 2 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
TEC
2010
121views more  TEC 2010»
13 years 4 months ago
Brain-Computer Evolutionary Multiobjective Optimization: A Genetic Algorithm Adapting to the Decision Maker
The centrality of the decision maker (DM) is widely recognized in the multiple criteria decision-making community. This translates into emphasis on seamless human
Roberto Battiti, Andrea Passerini
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 1 months ago
Inside a predator-prey model for multi-objective optimization: a second study
In this article, new variation operators for evolutionary multiobjective algorithms (EMOA) are proposed. On the basis of a predator-prey model theoretical considerations as well a...
Christian Grimme, Karlheinz Schmitt
GECCO
2004
Springer
108views Optimization» more  GECCO 2004»
14 years 3 months ago
Simple Population Replacement Strategies for a Steady-State Multi-objective Evolutionary Algorithm
This paper explores some simple evolutionary strategies for an elitist, steady-state Pareto-based multi-objective evolutionary algorithm. The experimental framework is based on the...
Christine L. Mumford