An Improved Fireworks Algorithm Based on Grouping Strategy of the Shuffled Frog Leaping Algorithm to Solve Function Optimization Problems

Algorithms

Jiang-Di Song¹  Jie-Sheng Wang¹  Yu-Feng Sun¹ 

[1] School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114044, China;

关键词: fireworks algorithm;    shuffled frog leaping algorithm;    grouping strategy;    function optimization;   

DOI  :  10.3390/a9020023

来源: DOAJ

【 摘 要 】

The fireworks algorithm (FA) is a new parallel diffuse optimization algorithm to simulate the fireworks explosion phenomenon, which realizes the balance between global exploration and local searching by means of adjusting the explosion mode of fireworks bombs. By introducing the grouping strategy of the shuffled frog leaping algorithm (SFLA), an improved FA-SFLA hybrid algorithm is put forward, which can effectively make the FA jump out of the local optimum and accelerate the global search ability. The simulation results show that the hybrid algorithm greatly improves the accuracy and convergence velocity for solving the function optimization problems.

【 授权许可】

Unknown