Improving And Research Based On Optimization Approach Using Fishing Strategy

Based on mathematics, optimization algorithm is a kind of appliedtechnology which aims at solving the engineering optimization problems. Atpresent, swarm intelligence optimization algorithm has been an importantresearch direction in intelligent computing field. Put forward in2009, theoptimization algorithm on using fishing strategy (called FSOA for short) is anew type of swarm intelligence optimization algorithm. Since it has not beenapplied for a long time, there is still much room for improvement. Based on this,the research on improving fishing strategy based optimization approach iscarried out in this paper,whose main contents are stated as follows:Firstly, it makes a brief overview of the research background andsignificance, introduces the current research situation of fishing strategy basedoptimization approach, and discusses its basic thoughts and steps.Secondly, the orthogonal transform approach and the random detectingapproach are put forward to determine the detecting points; the optimizationapproach which combines FSOA with PSO is proposed; and the optimizationapproach which combines the fishing strategy with the concept of naturalselection is presented; the movement strategy adopted in the FSOA is improvedto increase the optimization efficiency of solving high-dimensional and bigspace problems to some extent.