摘要
针对PSO算法在搜索过程中粒子容易失去多样性而陷入局部最优的缺陷,本文提出了一种免疫的PSO算法。该算法借助免疫接种与免疫选择两个免疫操作来优化PSO算法,从而达到优化搜索的目的,有助于提高其收敛速度,并将该算法应用于啤酒配方优化问题中。应用结果表明:使用免疫PSO算法对啤酒糖化配方进行优化,可以在较少的搜索步数内得到良好的优化效果,优化后所得配方的原料总成本有明显降低,具有工业应用价值。
According to the deficiency of the particle swarm optimization algorithm which is easy to lose diversity and run into local optimization in course of search, this article presents an immune particle swarm optimization algorithm that can optimize the particle swarm optimization algorithm through immune inoculation and immune choice, the ultimate aim which can optimize search and improve convergent speed is achieved. Finally the immune particle swarm optimization algorithm is adopted to recipe of beer optimization. The applied result shows that using the immune particle swarm optimization algorithm for recipe of beer optimization can improve the global search ability and decrease calculated steps. The lowest cost makes it possess greatly industrial value.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2008年第9期1982-1985,共4页
Chinese Journal of Scientific Instrument
关键词
优化
免疫PSO算法
配方
啤酒糖化
optimization
immune particle swarm optimization
recipe
Beer saccharification
