【摘要】 从多任务的资源优化问题出发,对利用遗传算法对资源受限的多任务调度问题及其资源均衡优化问题进行了研究。对多任务网络计划的资源均衡问题进行了讨论,重点将资源受限的多任务调度问题与资源均衡优化相结合进行均衡优化,提出了一种基于改进遗传算法的求解方法,很好地解决了多任务调度问题并使资源分布更为均衡。该方法在解决较大规模网络计划的多任务调度及资源均衡问题时,具有其它方法无法比拟的优势。更多还原

【Abstract】 From the issue of resource optimization of multitask,the problem of balancing and optimizing of resource-constrained multitask scheduling-problem based on genetic algorithm is researched.First,the issue of balanced-resource of multitask network planning is di-scussed,and then a combination optimization of the issue of resource-constrained multitask scheduling problem with the issue of resource-optimization is made.A method based on improved genetic algorithm is proposed,which solved the multi-task scheduling problem and enable a more balanced distribution of resources.The better results than other methods’are obtained.更多还原