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» On Using Populations of Sets in Multiobjective Optimization
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GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 25 days ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
CEC
2007
IEEE
15 years 3 months ago
Multi-objective differential evolution (MODE) for optimization of supply chain planning and management
— Many problems in the engineering domain involve more than one objective to be optimized simultaneously. The optimal solution to a multi-objective function results in a set of e...
B. V. Babu, Ashish M. Gujarathi
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 2 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
79
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GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
Inverse multi-objective robust evolutionary design optimization in the presence of uncertainty
In many real-world design problems, uncertainties are often present and practically impossible to avoid. Many existing works on Evolutionary Algorithm (EA) for handling uncertaint...
Dudy Lim, Yew-Soon Ong, Bu-Sung Lee
CEC
2009
IEEE
15 years 2 months ago
Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
— The bootstrap problem is often recognized as one of the main challenges of evolutionary robotics: if all individuals from the first randomly generated population perform equal...
Jean-Baptiste Mouret, Stéphane Doncieux