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Open genetic algorithms based on NICHE
基于小生境的开放式遗传算法

Keywords: open genetic algorithm,constrained optimization problem,NICHE
开放式遗传算法
,约束优化问题,小生境,小生境技术,开放式遗传算法,NICHE,based,genetic,algorithms,有效性,仿真实例,搜索速度,群体搜索,利用,相互作用机制,优势,实施,约束优化问题,选择问题,通用性,罚因子,全局最优解,收敛,存在

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Abstract:

Taking biosphere and adaptive mathematic models into account,a new Open Genetic Algorithm (OGA) based on NICHE was proposed,which overcome the defects of current genetic algorithm in solving constrained optimization problems.The convergence of global optimal solution of OGA was verified.Firstly,OGA does not need to confirm penalty coefficient,so it is strongly adaptable;secondly,OGA almost does not request the problems and the constraint,so it is easy to apply,which shows the advantage of GA;finally,in order to make good use of the population search characteristics of GA,ensure the diversity of population,and accelerate the search speed,OGA adopted the interaction mechanism between two NICHEs.Experiments show the algorithm is effective.

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