An experimental study of hybridizing cultural algorithms and local search |
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Authors: | Nguyen Trung Thanh Yao Xin |
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Affiliation: | The Centre of Excellence for Research in Computational Intelligence, and Applications, University of Birmingham, Birmingham, B15 2TT, United Kingdom. |
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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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