爆炸搜索算法及其收敛性证明

受烟花(炸弹)爆炸的启发，结合经典优化算法提出了一种新的智能优化算法—爆炸搜索算法(Explosion Search Algorithm, ESA) 。ESA引入部域搜索的思想，将智能优化算法与下降搜索算法进行有机结合，使得ESA具有强大的局部搜索能力和全局搜索能力以及好的收敛精度。对算法的收敛性进行了证明，最后通过对benchmark函数集进行仿真并同其他算法进行比较，验证了ESA的高效性。

Explosion Search Algorithm and its Convergence

Inspired by explosion of fireworks(bomb) , a new intelligence search algorithm was proposed, which is called Explosion Search Algorithm(ESA). One theory defined as Neighborhood Search was proposed in ESA, the Steepest descent search algorithm was introduced into the ESA,which makes this new algorithm stronger ability of global search as well as local search. The convergence of the algorithm was also proved in this article. The simulation using standard benchmark functions and comparison with other algorithms proved the efficiency of the new algorithm.