Chaos particle swarm optimization on flexible-resource constrained multi-project scheduling research
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In order to solve the flexible-resource constrained multi-project scheduling problem and effectively solve the resource distribution and start time of tasks,this paper used CPSO(chaos particle swarm optimization) to solve this problem,combined with multi-work's priorities ways.And for multi-project scheduling problem,using the way to form a chain of all tasks in all projects and then chose from top to bottom to separately schedule instead of taking multi-project into a big project.It used chaos to initiate the regional group and during the process used both PSO and chaos to updated the group,and left the best result and it's proved better way to solve the problem from escaping the group best result.Finally,psplib database of this problem was modified under this problem.Comparing with other two algorithms,it proves the possibility and effect of this method in solving this problem.Therefore,this method has its practical application value for the flexible-resource constrained project scheduling problem.