Comparison of Improved Harmony Search method and Hybridization method for Engineering Problems
Keywords:
Meta-Heuristics, Improved harmony search algorithm, Engineering ProblemsAbstract
Nowadays, the engineering problems are complicated. Optimization methods can apply meta-heuristics concepts to search the solution. Meta-heuristic methods are powerful for solving various problems including scheduling and minimize cost of manufacturing problems. This study presents efficiency of Improved harmony search (IHSA) and hybridization methods (HIHSA) for solving engineering problems. The results show that HIHSA is better than IHSA in terms of the mean, standard deviation and data distribution.
References
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2. Emad, E., Tarek, H. and Donald, G., 2005., Comparison among Five Evolutionary-based Optimisation Algorithms, Advanced Engineering Informatics, Vol. 19, pp. 43-53.
3. Lee, K. S. and Geem, Z. W., 2005., A New Meta-Heuristic Algorithm for Continuous Engineering Optimisation: Harmony Search Theory and Practice, Computer. Methods Apply Mech Eng, Vol. 194, pp. 3902–3933.
4. Mahdavi, M., Fesanghary, M. and Damangir, E., 2007., An Improved Harmony Search Algorithm for Solving Optimisation Problems, Applied Mathematics and Computation, Vol. 188, p. 1567–1579.
5. Mladenovic, N., Drazic, M., Kovac, V., angalovic, M., 2008., General variable neighborhood search for the continuous optimization, European Journal of Operational Research, Vol. 191, pp. 753–770.
6. Khan, Z., Prasad, L.B. and Singhl, T., 1997., Machine Condition Optimisation by Genetic Algorithms and Simulated, Computers Ops Res, Vol. 24, pp. 647-657.
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Published
2020-01-05
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ResearchArticles