中文说明：应用背景和声搜索算法（HS）是相对最近的元启发式算法，优化 ；方法的灵感来自音乐的即兴创作过程中的自然现象。关键技术尽管它的成功，和声搜索算法的主要缺点是包含在其趋势 ；过早收敛由于其贪婪的选择方法。这可能 ；使和声搜索算法陷入局部最优解，而 ；由于搜索空间的有限的探索。大洪水算法 ；是一种局部搜索方法，具有提高 高效的能力；多样性和防止局部最优。这种能力来自于其灵活的 ；接受新构建的解决方法。本研究的目的是 ；提出并探讨HS的新变种。这样做，对 验收方法；大洪水算法结合和声搜索以提高其收敛 ； 保持在初始阶段较高的多元化特性的搜索过程。
English Description：
Application backgroundHarmony search (HS) algorithm is relatively a recent metaheuristic optimization method inspired by natural phenomenon of musical improvisation process.Key TechnologyDespite its success, the main drawback of harmony search are contained in its tendency to converge prematurely due to its greedy selection method. This probably leads the harmony search algorithm to get stuck in local optima and unsought solutions owing to the limited exploration of the search space. The great deluge algorithm is a local search-based approach that has an efficient capability of increasing diversity and avoiding the local optima. This capability comes from its flexible method of accepting the new constructed solution. The aim of this research is to propose and evaluate a new variant of HS. To do so, the