CAJ | 학술논문

针对和声搜索算法的不足, 提出了一种自适应改进和声—单纯形进化算法(AIHSEA)。通过在新算法中加入变异策略对和声微调进行改进来增强算法的鲁棒性; 适时执行单纯形算子增加群体搜索的方向性来加快搜索; 采用自适应参数HMCR、PAR和BW调节全局和局部搜索。采用六个标准的优化算法测试函数对AIHSEA进行测试, 并与HS、IHS和GHS算法进行对比, 仿真结果表明AIHSEA算法具有较强的精确寻优和跳出局部最优的能力。
침대화성수색산법적불족, 제출료일충자괄응개진화성—단순형진화산법(AIHSEA)。통과재신산법중가입변이책략대화성미조진행개진래증강산법적로봉성; 괄시집행단순형산자증가군체수색적방향성래가쾌수색; 채용자괄응삼수HMCR、PAR화BW조절전국화국부수색。채용륙개표준적우화산법측시함수대AIHSEA진행측시, 병여HS、IHS화GHS산법진행대비, 방진결과표명AIHSEA산법구유교강적정학심우화도출국부최우적능력。
For the purpose of avoiding the disadvantage of harmony search algorithm, this paper proposed an adaptive improved harmony pattern search(AIHSEA) algorithm. In AIHSEA, it added a mutation strategy to enhance the robustness of HS. In order to increase the directivity of the harmony search, it implemented the simplex method timely. It adjusted its global and local searches by using adaptive parameters HMCR, PAR and BW. Finally, AIHSEA was tested by six standard benchmark functions and contrasted with HS, HIS and GHS algorithm. The test results show the favorable abilities of accuracy and escaping local minimums.