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» Evolutionary Computation for Modeling and Optimization
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GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 5 months ago
Hybridizing an evolutionary algorithm with mathematical programming techniques for multi-objective optimization
In recent years, the development of multi-objective evolutionary algorithms (MOEAs) hybridized with mathematical programming techniques has significantly increased. However, most...
Saúl Zapotecas Martínez, Carlos A. C...
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
15 years 8 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
15 years 9 months ago
An empirical study on the handling of overlapping solutions in evolutionary multiobjective optimization
We focus on the handling of overlapping solutions in evolutionary multiobjective optimization (EMO) algorithms. First we show that there exist a large number of overlapping soluti...
Hisao Ishibuchi, Kaname Narukawa, Yusuke Nojima
GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 10 months ago
A hybrid evolutionary programming algorithm for spread spectrum radar polyphase codes design
This paper presents a hybrid evolutionary programming algorithm to solve the spread spectrum radar polyphase code design problem. The proposed algorithm uses an Evolutionary Progr...
Ángel M. Pérez-Bellido, Sancho Salce...
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 9 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