A new evolutionary algorithm for function optimization
โ Scribed by Guo Tao; Kang Li-shan
- Publisher
- Wuhan University
- Year
- 1999
- Tongue
- English
- Weight
- 337 KB
- Volume
- 4
- Category
- Article
- ISSN
- 1007-1202
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## Abstract By combining the aspect of population in genetic algorithms (GAs) and the simulated annealing algorithm (SAA), a novel algorithm, called fast annealing evolutionary algorithm (FAEA), is proposed. The algorithm is similar to the annealing evolutionary algorithm (AEA), and a very fast ann
Evolutionary genetic algorithms have been proposed to solve NP-complete combinatorial optimization problems. A new crossover operator based on group theory has been created. Computational processes motivated by proposed evolutionary genetic algorithms were described as stochastic processes, using po