关键词: 食物链, 响应优化, 高斯差商变异, 惯性权重变异, 粒子群算法

Abstract: To improve the grid connection capability and the coupling optimization of gearbox,a particle swarm optimization algorithm based on food chain conduction response was proposed,which integrated the class enrichment conduction with mutation particle swarm algorithm according to biological energy conduction in food chain.To make up for the deficiency of algorithm's diversity preservation and optimization ability,the algorithm population was mutated and the mutation sequence was taken as the initial search solution to adjust the search location.Gauss difference quotient variation operator and inertia weight were integrated into search mechanism for updating operator adaptively.Penalty variation was applied to the particle with lower fitness for maintaining the search ability and variety of the algorithm.The effectiveness of the algorithm could be verified by solving the gearbox optimization problems which were occupied with multivariable coupling.

Key words: food chain, response optimization, Gauss difference variation, inertia weight variation, particle swarm algorithm