Self-adaptive hybrid evolutionary algorithms
β Scribed by Gao Fei; Zhong Shou-nan; Ji Chang-ming
- Publisher
- Wuhan University
- Year
- 2002
- Tongue
- English
- Weight
- 69 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1007-1202
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## Abstract An evolutionary programming algorithm with a mixed continuousβdiscrete parameter representation for application in electromagnetic optimization problems is presented. In our approach, the mutation operator consists of a hybrid combination of Gaussian mutation for the continuous paramete
Self-adaptive" algorithms include a wide variety of procedures that derive models by "training" with data about the process concerned. Adaptive algorithms typically perform brilliantly under some conditions, but fail badly under others. Flexibility, reliability and speed are prime concerns in design