Research on Mixed Operation Optimization of Piler Based on GWO-PSO Algorithm
In order to reduce the running time of the mixed operation of the piler,the mathematical model of the minimum running time of the piler is established,and an improved GWO-PSO algorithm is proposed to solve it.Firstly,in the initialization stage,grey wolves are randomly divided into several groups,and the leader,wolf king,is selected for independent optimization according to the standard GWO algorithm.Secondly,the position update mode of the PSO algorithm is used to update the optimization results to ensure the diversity of the population and the optimization speed of the algorithm.Thirdly,the velocity exchange operator is introduced for discretization,and the problem that the algorithm is easy to fall into local optimal is solved by setting the threshold value.Finally,the effectiveness of the GWO-PSO algorithm is verified by an example simulation.
mixed operationgrey wolf optimization algorithmparticle swarm optimization algorithmGWO-PSO algorithm
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