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A Hybrid Algorithm for Optimizing Multi-Modal Functions 认领 引用 被引量：1
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作者 Li Qinghua Yang Shida Ruan Youlin 《Wuhan University Journal of Natural Sciences》 EI CAS 2006年第3期551-554,共4页
A new genetic algorithm is presented based on the musical performance. The novelty of this algorithm is that a new genetic algorithm, mimicking the musical process of searching for a perfect state of harmony, which in... A new genetic algorithm is presented based on the musical performance. The novelty of this algorithm is that a new genetic algorithm, mimicking the musical process of searching for a perfect state of harmony, which increases the robustness of it greatly and gives a new meaning of it in the meantime, has been developed, Combining the advantages of the new genetic algorithm, simplex algorithm and tabu search, a hybrid algorithm is proposed. In order to verify the effectiveness of the hybrid algorithm, it is applied to solving some typical numerical function optimization problems which are poorly solved by traditional genetic algorithms. The experimental results show that the hybrid algorithm is fast and reliable. 展开更多
关键词 harmony genetic allgorithm simplex algorithm Tabu search
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