摘要
面向制造企业多项目管理中的资源优化配置问题,以资源作为决策变量展开研究,以整体工期优化为目标建立了资源优化模型,设计了一种用于求解可更新资源约束的资源优化配置问题的离散粒子群算法。新算法重新定义了基本粒子群算法中的速度、位置公式,使其适宜求解资源优化调度类离散问题,加快收敛速度,获得整体最优配置方案。应用研究表明本算法在求解资源优化配置问题上具有较好的实际应用前景。
This paper studied the multi-project resources optimization allocation method in manufacturing enterprise with resource as decision variable,established resource optimization model with the overall duration optimization as the goal,proposed a enhanced discrete particle swarm algorithm to solve the renewable resources-constrained optimization allocation problem.The new algorithm redefines the velocity and position formula of elementary particle swarm optimization for making it suitable for solving discrete optimization problems,speeding up the convergence,finally obtains the overall optimum configuration.The applied research shows that the discrete particle swarm algorithm has good practical application prospects in solving the resources optimization allocation problem.
出处
《现代机械》
2011年第1期34-36,54,共4页
Modern Machinery
关键词
离散粒子群算法
资源约束
多项目
资源优化配置
discrete particle swarm optimization
resource-constrained
multi-project
resources optimization allocation
