DocumentCode
2464143
Title
Human Designed Vs. Genetically Programmed Differential Evolution Operators
Author
Pavlidis, N.G. ; Plagianakos, V.P. ; Tasoulis, D.K. ; Vrahatis, M.N.
Author_Institution
Univ. of Patras, Patras
fYear
0
fDate
0-0 0
Firstpage
1880
Lastpage
1886
Abstract
The hybridization and combination of different Evolutionary Algorithms to improve the quality of the solutions and to accelerate execution is a common research practice. In this paper, we utilize Genetic Programming to evolve novel Differential Evolution operators. The genetic evolution resulted in parameter free Differential Evolution operators. Our experimental results indicate that the performance of the genetically programmed operators is comparable and in some cases is considerably better than the already existing human designed ones.
Keywords
genetic algorithms; genetic programming; genetically programmed differential evolution operators; human designed differential evolution operators; Acceleration; Ant colony optimization; Evolutionary computation; Genetic algorithms; Genetic mutations; Genetic programming; Humans; Neural networks; Optimization methods; Problem-solving;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9487-9
Type
conf
DOI
10.1109/CEC.2006.1688536
Filename
1688536
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