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GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
15 years 5 months ago
Learning and anticipation in online dynamic optimization with evolutionary algorithms: the stochastic case
The focus of this paper is on how to design evolutionary algorithms (EAs) for solving stochastic dynamic optimization problems online, i.e. as time goes by. For a proper design, t...
Peter A. N. Bosman, Han La Poutré
PPSN
2004
Springer
15 years 4 months ago
Improving Evolutionary Algorithms with Multi-representation Island Models
Abstract. We present an island model that uses different representations in each island. The model transforms individuals from one representation to another during migrations. We ...
Zbigniew Skolicki, Kenneth A. De Jong
85
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EVOW
2003
Springer
15 years 4 months ago
GAME-HDL: Implementation of Evolutionary Algorithms Using Hardware Description Languages
Evolutionary Algorithms (EAs) have been proposed as a very powerful heuristic optimization technique to solve complex problems. Many case studies have shown that they work very eff...
Rolf Drechsler, Nicole Drechsler
GECCO
2003
Springer
103views Optimization» more  GECCO 2003»
15 years 4 months ago
Multicriteria Network Design Using Evolutionary Algorithm
In this paper, we revisit a general class of multi-criteria multi-constrained network design problems and attempt to solve, in a novel way, with Evolutionary Algorithms (EAs). A ma...
Rajeev Kumar, Nilanjan Banerjee
GECCO
2003
Springer
15 years 4 months ago
Mining Comprehensible Clustering Rules with an Evolutionary Algorithm
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...
Ioannis A. Sarafis, Philip W. Trinder, Ali M. S. Z...