Abstract:

The characteristics and deficiencies of traditional niche genetic algorithms for multi-modal function optimization are discussed, and a niche clonal selection algorithm (NCSA) for multi-modal function optimization based on clonal selection principle of immune system is proposed. Niche technology, memory method, restrain method and recombine method are used to improve the clonal selection algorithm. Finally, the algorithm is applied to the single unmanned combat air vehicle (UCAV) multiple path planning problem, and the experiment result shows its simplicity and effectiveness.