Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
نویسندگان
چکیده
Practical applications of Evolutionary Algorithms (EA) frequently use some sort of hybridization by incorporating domain-specific knowledge, which turns the generally applicable EA into a problem-specific tool. To overcome this limitation, the new method of HyGLEAM was developed and tested extensively using eight test functions and three real-world applications. One basic kind of hybridization turned out to be superior and the number of evaluations was reduced by a factor of up to 100.
منابع مشابه
HyGLEAM - An Approach to Generally Applicable Hybridization of Evolutionary Algorithms
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