Genetic algorithm based on predatory search strategy
基于捕食搜索策略的遗传算法研究

To improve performance of genetic algorithm and avoid trapping to local optima,proposed a new genetic algorithm based on predatory search strategy.It simulated the animal predatory search in running,and adjusted the crossover and mutation probability by the best individual fitness in every generation.It could enhance the ability of global exploring and local search.The simulation results demonstrate the effectiveness and practicability of this algorithm.