针对协同粒子群优化算法存在的停滞现象，提出了一种改进的协同粒子群优化算法。
Aiming at the stagnation problem of the cooperative particle swarm optimization, this paper presents an improved cooperative particle swarm optimization.
为了解决基本粒子群算法不易跳出局部最优的问题，提出了一种协同粒子群优化算法。
To solve the problem that particle swarm optimization algorithm is apt to trap in local optimum, a novel cooperative particle swarm optimization algorithm is proposed.
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。
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。
The Particle Swarm Optimization (PSO) algorithm was used to deal with task assignment problem in multi-suppliers' participation in collaborative product development.
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