信阳师范学院学报(自然科学版)
信暘師範學院學報(自然科學版)
신양사범학원학보(자연과학판)
JOURNAL OF XINYANG NORMAL UNIVERSITY(NATURAL SCIENCE EDITION)
2013年
3期
446-449
,共4页
人工蜂群算法%混沌算子%逆向算子%自适应搜索
人工蜂群算法%混沌算子%逆嚮算子%自適應搜索
인공봉군산법%혼돈산자%역향산자%자괄응수색
artificial bee colony algorithm%chaotic operator%inverse operator%adaptive search
针对基本的人工蜂群算法(basic Artificial Bee Colony algorithm,ABC)收敛速度慢和容易陷于局部最优等不足,采用混沌算子和逆向学习算子相混合的初始化种群的方法,有效地改进了初始种群的多样性;在雇佣蜂和观察峰的位置更新上,提出了自适应搜索算子。改进后的算法(Improved ABC,IABC)测试了5个标准单峰或多峰函数,结果表明,IABC 算法在搜索效率、最优解质量、稳定性均优于 ABC 算法。
針對基本的人工蜂群算法(basic Artificial Bee Colony algorithm,ABC)收斂速度慢和容易陷于跼部最優等不足,採用混沌算子和逆嚮學習算子相混閤的初始化種群的方法,有效地改進瞭初始種群的多樣性;在僱傭蜂和觀察峰的位置更新上,提齣瞭自適應搜索算子。改進後的算法(Improved ABC,IABC)測試瞭5箇標準單峰或多峰函數,結果錶明,IABC 算法在搜索效率、最優解質量、穩定性均優于 ABC 算法。
침대기본적인공봉군산법(basic Artificial Bee Colony algorithm,ABC)수렴속도만화용역함우국부최우등불족,채용혼돈산자화역향학습산자상혼합적초시화충군적방법,유효지개진료초시충군적다양성;재고용봉화관찰봉적위치경신상,제출료자괄응수색산자。개진후적산법(Improved ABC,IABC)측시료5개표준단봉혹다봉함수,결과표명,IABC 산법재수색효솔、최우해질량、은정성균우우 ABC 산법。
The basic artificial bee colony algorithm has a slow convergence speed , and easily gets trapped in local optimum.An improved algorithm given in this paper combined chaotic operator and inverse operator and then produced initialization population to improve the diversity of initial population .The parameter adaptive search operator was put forward and applied to the position updating of employed bees and onlookers bees .The improved algorithm (Improved ABC, IABC) had been experimented by five standard unimodal or multi -peak functions.The experimental results showed that the IABC algorithm is superior to the ABC algorithm in the search efficiency , the quality of the optimal so-lution and the stability .