An Improving FSOA Optimization by Using Orthogonal Transform

After the shortcoming of the optimization algorithm on using fishing strategy (FSOA) being analyzed in this paper, an improving FSOA optimization is presented. The main approach of this optimization is that, about the aspect of the choice of detecting points, every fisherman selects his first detecting-point in his positive direction randomly, and then the others are determined through the orthogonal transform of the first detecting-point. And about the aspect of the searching strategy, that only the fisherman who is at the present optimal point that takes the strategy of constricted search, and the others make use of the strategy of moving search. It shows, from the experimental imitating study of some typical benchmark functions’ optimization, that the improving FSOA is effective and feasible for solving the optimal solution of the complex functions.