The Particle Swarm Optimization (PSO) algorithm was used to deal with task assignment problem in multi-suppliers' participation in collaborative product development.
通过粒子群最优化算法解决多供应商参与协同产品开发时的任务指派问题。
A concrete dam deformation forecasting model is established based on the particle swarm optimization (PSO) algorithm and the traditional multi-statistical regression model.
将粒子群算法引入大坝安全监控领域，并结合多元回归统计模型，建立基于粒子群算法的混凝土坝变形预报模型。
This paper describes a niching multi-objective Particle Swarm Optimization(PSO) algorithm.
提出一种小生境多目标粒子群优化算法。
Based on service level agreement(SLA) and the Parallel Multi-swarm Cooperative PSO Algorithm designed by the author, a parallel multi-swarm cooperative PSO framework applied to GHPCP is realized.
基于服务级协定和本文设计的并行多群体协作PSO算法实现了一个应用在基于网格的高性能计算平台上的并行多群体协作PSO框架。
Based on service level agreement(SLA) and the Parallel Multi-swarm Cooperative PSO Algorithm designed by the author, a parallel multi-swarm cooperative PSO framework applied to GHPCP is realized.
基于服务级协定和本文设计的并行多群体协作PSO算法实现了一个应用在基于网格的高性能计算平台上的并行多群体协作PSO框架。
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