计算机工程与设计
計算機工程與設計
계산궤공정여설계
Computer Engineering and Design
2015年
11期
3117-3122
,共6页
人工蜂群算法%差分进化算法%随机%搜索策略%优化
人工蜂群算法%差分進化算法%隨機%搜索策略%優化
인공봉군산법%차분진화산법%수궤%수색책략%우화
artificial bee colony algorithm%differential evolution%random%search strategy%optimization
为避免人工蜂群算法陷入早熟，提出一种基于随机搜索策略的人工蜂群算法。进行搜索时，借鉴差分进化算法的交叉操作，采用随机选择的方式进行搜索，平衡算法的局部搜索能力和全局搜索能力，在搜索过程中加入一定扰动来增强种群的多样性。对8个基准函数的仿真结果表明，该算法具有较快的收敛速度、求解精度高、鲁棒性较强，适合求解高维复杂的全局优化问题。
為避免人工蜂群算法陷入早熟，提齣一種基于隨機搜索策略的人工蜂群算法。進行搜索時，藉鑒差分進化算法的交扠操作，採用隨機選擇的方式進行搜索，平衡算法的跼部搜索能力和全跼搜索能力，在搜索過程中加入一定擾動來增彊種群的多樣性。對8箇基準函數的倣真結果錶明，該算法具有較快的收斂速度、求解精度高、魯棒性較彊，適閤求解高維複雜的全跼優化問題。
위피면인공봉군산법함입조숙，제출일충기우수궤수색책략적인공봉군산법。진행수색시，차감차분진화산법적교차조작，채용수궤선택적방식진행수색，평형산법적국부수색능력화전국수색능력，재수색과정중가입일정우동래증강충군적다양성。대8개기준함수적방진결과표명，해산법구유교쾌적수렴속도、구해정도고、로봉성교강，괄합구해고유복잡적전국우화문제。
To prevent artificial bee colony algorithm from trapping into premature phenomenon ,artificial bee colony algorithm with random search strategy was presented .Crossover operation of differential evolution algorithm was used when implementing search strategy ,and random choice method was adopted to balance the ability of local and global search .Disturbance operation was adopted to increase the diversity of population .Experiments were conducted on a set of 8 benchmark functions .Results demonstrate that the proposed algorithm has high convergence speed ,accuracy and robustness .It is more suitable to solve high‐dimensional complex global optimization problems .
