以用户需求与产品性能的相关度最大为优化目标建立了模块化产品配置设计模型;并提出了融合鱼群算法及蚁群算法的优化模型求解方法。以铁路客车内装模块化配置设计为应用,验证了该优化模型及其求解方法的可行性和有效性。
A modular product configuration design model which took mutuality degree between customer needs and product performances as an optimal objective is set up. In order to solve the optimal model, an improved ant colony algorithm based on artificial fish-swarm algorithm is brought forward. The modular configuration design of railway passenger car interior decoration is taken as an example to illustrate the feasibility and validity of the model and it's solving method.