论文标题
针对调度问题的粒子群优化速度限制和进化参数选择
Particle Swarm Optimization with Velocity Restriction and Evolutionary Parameters Selection for Scheduling Problem
论文作者
论文摘要
本文介绍了针对调度问题的粒子群优化方法的研究。为了改善该方法的性能，实现了颗粒速度和进化元优化的限制。提出的方法使用遗传算法来选择粒子群优化的参数。实验是在工作店调度问题的测试任务上进行的。这项研究证明了方法的适用性，并显示了调整群体智能方法的行为参数以实现高性能的重要性。
The article presents a study of the Particle Swarm optimization method for scheduling problem. To improve the method's performance a restriction of particles' velocity and an evolutionary meta-optimization were realized. The approach proposed uses the Genetic algorithms for selection of the parameters of Particle Swarm optimization. Experiments were carried out on test tasks of the job-shop scheduling problem. This research proves the applicability of the approach and shows the importance of tuning the behavioral parameters of the swarm intelligence methods to achieve a high performance.
