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GECCO
2004
Springer
14 years 1 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
13 years 11 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
JUCS
2006
104views more  JUCS 2006»
13 years 7 months ago
Multi-Objective Evolutionary Algorithms and Pattern Search Methods for Circuit Design Problems
: The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit design problems: the multi-objective optimization of an Operational Transconduc...
Tonio Biondi, Angelo Ciccazzo, Vincenzo Cutello, S...
EUROGP
2004
Springer
13 years 11 months ago
On the Evolution of Evolutionary Algorithms
In this paper we discuss the evolution of several components of a traditional Evolutionary Algorithm, such as genotype to phenotype mappings and genetic operators, presenting a for...
Jorge Tavares, Penousal Machado, Amílcar Ca...
GECCO
2008
Springer
165views Optimization» more  GECCO 2008»
13 years 9 months ago
Dual-population genetic algorithm for nonstationary optimization
In order to solve nonstationary optimization problems efficiently, evolutionary algorithms need sufficient diversity to adapt to environmental changes. The dual-population genetic...
Taejin Park, Ri Choe, Kwang Ryel Ryu