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在传统和声搜索优化算法的基础上,提出一种自适应双子和声搜索优化算法。通过建立主辅两个和声库正反双向进行迭代搜索,并对和声算法中的音调调整概率和音调微调带宽两个重要参数进行自适应调整,提高了算法的动态适应性以及局部搜索和全局搜索的协调能力。通过构造两组搜索方向各异、相互协同的主、辅和声,充分利用了搜索域内的隐含信息,扩展搜索范围,从而实现了全局最优。在试验中分别对3个复杂函数进行测试,结果表明该算法具有较好的全局搜索能力和收敛速度,在一定程度上提高了最优值的搜索能力,达到了预期效果。
Based on the traditional harmony search optimization algorithm, an adaptive two-tone harmony search algorithm is proposed. Through the establishment of two primary and secondary harmony library iterative search both forward and reverse, and adjust the pitch tuning algorithm and pitch tuning fine tuning of two important parameters of adaptive adjustment to improve the dynamic adaptability of the algorithm and local search and Global search coordination. By constructing two sets of main and auxiliary harmonies with different search directions and mutual synergies, the hidden information in the search domain is fully used to extend the search range and achieve the global optimum. Three complex functions were tested in the experiment. The results show that the algorithm has good global search ability and convergence speed, which improves the search ability of the optimal value to a certain extent and achieves the expected result.