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AIEDAM
2000
134views more  AIEDAM 2000»
13 years 7 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
PPAM
2007
Springer
14 years 1 months ago
A Cost-Benefit-Based Adaptation Scheme for Multimeme Algorithms
Abstract. Memetic Algorithms are the most frequently used hybrid of Evolutionary Algorithms (EA) for real-world applications. This paper will deal with one of the most important ob...
Wilfried Jakob
ECAL
1995
Springer
13 years 11 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph
SEMCCO
2010
13 years 5 months ago
Differential Evolution Algorithm with Ensemble of Parameters and Mutation and Crossover Strategies
Differential Evolution (DE) has attracted much attention recently as an effective approach for solving numerical optimization problems. However, the performance of DE is sensitive ...
Rammohan Mallipeddi, Ponnuthurai Nagaratnam Sugant...
ANTSW
2008
Springer
13 years 9 months ago
Adaptive Particle Swarm Optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perfor...
Zhi-hui Zhan, Jun Zhang