Strategy optimization of laser weapon intercept multi-target based on an improved Genetic Algorithm

In order to solve the strategy optimization of Laser weapon intercept multiple in flight targets problem, a reasonable model is constructed and an improved Genetic Algorithm(GA) is proposed. It introduces both global search strategy and local search strategy to ensure the searching breadth as well as the solution precision. It adds a local search process in the standard GA. When the best child of every generation is found, the algorithm performs local search in the neighborhood of the best individual to find local optimum. It also applies keep the best K children of the parents to carry out mutation but not crossover mechanism. Experiments show that the improved GA greatly enhances the performance of the standard GA, not only improves the precision of the algorithm, but also increases the stability and quicken the convergent speed of the algorithm.