DocumentCode
1712431
Title
Minimizing the real functions of the ICEC´96 contest by differential evolution
Author
Storn, Rainer ; Price, Kenneth
Author_Institution
Siemens AG, Munich, Germany
fYear
1996
Firstpage
842
Lastpage
844
Abstract
Differential Evolution (DE) has recently proven to be an efficient method for optimizing real-valued multi-modal objective functions. Besides its good convergence properties and suitability for parallelization, DE´s main assets are its conceptual simplicity and ease of use. This paper describes two variants of DE which were used to minimize the real test functions of the ICEC´96 contest
Keywords
functions; genetic algorithms; minimisation; parallel algorithms; search problems; ICEC´96 contest; conceptual simplicity; convergence properties; differential evolution; parallelization; real functions; real-valued multi-modal objective functions; Chromium; Convergence; Optimization methods; Probability distribution; Random number generation; Search methods; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location
Nagoya
Print_ISBN
0-7803-2902-3
Type
conf
DOI
10.1109/ICEC.1996.542711
Filename
542711
Link To Document