共享式全局寻优算法的研究  

Study on share global optimization algorithm

作　　者：王翠茹[1] 杜鹃[1] 张鑫林 

机构地区：[1]华北电力大学计算机科学与技术系,河北保定071003 [2]南方电网公司电力调度通信中心,广东广州510623

出　　处：《计算机工程与设计》2007年第14期3469-3472,共4页Computer Engineering and Design

摘　　要：首先分析了目前主要用于全局优化的智能算法和群智能算法的特点,针对多极值问题,指出他们相互融合发展的趋势,提出了一种体现大融合思想的共享式全局寻优算法。进行智能优化算法和群智能优化算法有机组合,使它们共享优化信息,协同寻优,从而形成最丰富的寻优机制,达到最强的全局寻优能力。最后通过算例验证了该算法的有效性,实用性。The characteristic of current intelligent algorithms and group intelligence algorithms is analyzed, which are mainly used in the global optimization. In view of the multi-minimum problem, the mutual amalgamation of development tendency is pointed out, the sharing global algorithm which manifesting the big amalgamation thought is proposed. Also present intelligent algorithms and group in- telligence optimization algorithms organically together and made them share the optimized information are combined, which optimize coordinately, thus form the richest optimization mechanism and achieve the strongest global optimization ability is achieved. Finally an example is showed to confirm the validity of this algorithm.

关 键 词：智能 全局优化 组合 共享 算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]