一种求解RCPSP的协同进化分布估计算法

Coevolutionary Estimation of Distribution Algorithm for Solving Resource-constrained Project Scheduling Problem

针对大规模资源受限项目调度问题计算复杂的特点,提出一种合作式协同进化分布估计算法(CCEDA)。将合作式协同进化框架与分布估计算法相结合,将复杂问题分解为子问题,利用改进的分布估计算法对每个子问题进行协同优化求解。为提高分布估计算法的局部搜索能力,给出一种对解进行局部搜索的方法。将CCEDA用于求解标准问题库PSPLIB,并与GAPS、GA-DBH、GA-hybrid与GA-FBI算法进行比较,结果证明CCEDA拥有更好的求解性能。

This paper presents Cooperative Coevolutionary Estimation of Distribution Algorithm（CCEDA） to solve Resource-constrained Project Scheduling Problem（RCPSP）.It integrates the cooperative co-evolutionary framework and Estimation of Distribution Algorithm（EDA）,decomposes RCPSP into several sub-problems,and then applies improved EDA to cooperatively solve these sub-problems.In order to enhance the local search ability of EDA,it gives a local search method for solutions.CCEDA is compared with GAPS,GA-DBH,GA-hybrid and GA-FBI,and experimental results on PSPLIB prove that CCEDA has better performance.