AN EXPERIMENTAL STUDY OF HYBRIDIZING CULTURAL ALGORITHMS AND LOCAL SEARCH
2008 ◽
Vol 18
(01)
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pp. 1-17
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Keyword(s):
In this paper the performance of the Cultural Algorithms-Iterated Local Search (CA-ILS), a new continuous optimization algorithm, is empirically studied on multimodal test functions proposed in the Special Session on Real-Parameter Optimization of the 2005 Congress on Evolutionary Computation. It is compared with state-of-the-art methods attending the Session to find out whether the algorithm is effective in solving difficult problems. The test results show that CA-ILS may be a competitive method, at least in the tested problems. The results also reveal the classes of problems where CA-ILS can work well and/or not well.
Keyword(s):
2015 ◽
Vol 60
(4)
◽
pp. 2821-2826
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2006 ◽
Vol 14
(2)
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pp. 223-253
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