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» On Using Populations of Sets in Multiobjective Optimization
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102
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HIS
2008
15 years 1 months ago
Evaluating Ranking Composition Methods for Multi-Objective Optimization of Knowledge Rules
Most symbolic classifiers aim at building sets of rules with good coverage and precision. While this is suitable for most applications, they tend to neglect other desirable proper...
Rafael Giusti, Gustavo E. A. P. A. Batista, Ronald...
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
15 years 5 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
IJCIM
2007
99views more  IJCIM 2007»
14 years 11 months ago
Fuzzy multi-objective optimization for network design of integrated e-supply chains
Worldwide competition originated the development of Integrated E-Supply Chains (IESC) that are distributed manufacturing systems integrating international logistics and informatio...
Mariagrazia Dotoli, Maria Pia Fanti, Agostino Marc...
106
Voted
HPCC
2007
Springer
15 years 6 months ago
Hybrid Line Search for Multiobjective Optimization
Abstract. The aggregation of objectives in multiple criteria programming is one of the simplest and widely used approach. But it is well known that these techniques sometimes fail ...
Crina Grosan, Ajith Abraham
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 5 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett