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» On the Brittleness of Evolutionary Algorithms
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TEC
2002
88views more  TEC 2002»
15 years 5 months ago
Parallelism and evolutionary algorithms
Abstract--This paper contains a modern vision of the parallelization techniques used for evolutionary algorithms (EAs). The work is motivated by two fundamental facts: first, the d...
Enrique Alba, Marco Tomassini
ISPASS
2008
IEEE
16 years 15 days ago
Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets
— This work addresses the problem of building representative subsets of benchmarks from an original large set of benchmarks, using statistical analysis techniques. The subsets sh...
Vassilios N. Christopoulos, David J. Lilja, Paul R...
GECCO
2007
Springer
137views Optimization» more  GECCO 2007»
16 years 8 days 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 11 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
EVOW
2003
Springer
15 years 11 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