DocumentCode
239366
Title
Differential evolution with rotation-invariant mutation and competing-strategies adaptation
Author
Bujok, Petr ; Tvrdik, Josef ; Polakova, Radka
Author_Institution
Dept. of Comput. Sci., Univ. of Ostrava, Ostrava, Czech Republic
fYear
2014
fDate
6-11 July 2014
Firstpage
2253
Lastpage
2258
Abstract
A new variant of the adaptive differential evolution algorithm was proposed and tested experimentally on the CEC 2014 test suite. In the new variant, the adaptation is based on the competition of several strategies. A part of strategies in the pool uses the rotation-invariant current-to-pbest mutation in the novel algorithm. The aim of the experimental comparison was to find whether the presence of the rotation-invariant strategy is able to improve the efficiency of the differential evolution algorithm, especially in problems with rotated objective functions. The results of the experiments showed that the new variant performed well in a few of the test problems, while no apparent benefit was observed in the majority of the benchmark problems.
Keywords
evolutionary computation; CEC 2014 test suite; adaptive differential evolution algorithm; benchmark problems; competing-strategies adaptation; rotated objective functions; rotation-invariant current-to-pbest mutation; rotation-invariant mutation; Benchmark testing; Convergence; Linear programming; Optimization; Sociology; Statistics; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6626-4
Type
conf
DOI
10.1109/CEC.2014.6900626
Filename
6900626
Link To Document