DocumentCode
2027756
Title
A natural and simple function which is hard for all evolutionary algorithms
Author
Droste, Stefan ; Jansen, Thomas ; Wegener, Ingo
Author_Institution
LS Informatik 2, Dortmund Univ., Germany
Volume
4
fYear
2000
fDate
2000
Firstpage
2704
Abstract
Evolutionary algorithms (EAs) are randomized search strategies that have turned out to be efficient for somewhat different optimization problems. In order to understand the behavior of EAs, one is also interested in examples where EAs need exponential time to find an optimal solution. Until now only artificial examples of this kind were known. An example with a clear and simple structure is presented. It can be described by a short formula, it is a polynomial of degree 3, and it is an instance of a well-known problem, the theoretically and practically important MAXSAT problem
Keywords
evolutionary computation; optimisation; search problems; MAXSAT problem; evolutionary algorithms; exponential time; optimization problems; polynomial; search strategies; Collaborative work; Computational intelligence; Evolutionary computation; Genetic mutations; Hardware; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location
Nagoya
Print_ISBN
0-7803-6456-2
Type
conf
DOI
10.1109/IECON.2000.972425
Filename
972425
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