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Published on: December 10, 2012
An experimental study of hybridizing cultural algorithms and local search
1The Centre of Excellence for Research in Computational Intelligence, and Applications, University of Birmingham, Birmingham, B15 2TT, United Kingdom.
Abstract:
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.
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