Improved Harmony Search with Chaos for Solving Linear Assignment Problems
Автор: Osama Abdel-Raouf, Mohamed Abdel-Baset, Ibrahim El-henawy
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 5 vol.6, 2014 года.
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This paper presents an improved version of a harmony meta-heuristic algorithm, (IHSCH), for solving the linear assignment problem. The proposed algorithm uses chaotic behavior to generation a candidate solution in a behavior similar to acoustic monophony. Numerical results show that the IHSCH is able to obtain the optimal results in comparison with traditional methods (the Hungarian method). However, the benefit of the proposed algorithm is its ability to obtain the optimal solution within less computation in comparison with the Hungarian method.
Harmony Search Algorithm, Meta-Heuristics, Optimization, Assignment Problem, Chaos, Evolutionary Algorithms
Короткий адрес: https://sciup.org/15010557
IDR: 15010557
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