An Improved Fireworks Algorithm Based on Grouping Strategy of the Shuffled Frog Leaping Algorithm to Solve Function Optimization Problems
- Resource Type
- article
- Authors
- Yu-Feng Sun; Jie-Sheng Wang; Jiang-Di Song
- Source
- Algorithms, Vol 9, Iss 2, p 23 (2016)
- Subject
- fireworks algorithm
shuffled frog leaping algorithm
grouping strategy
function optimization
Industrial engineering. Management engineering
T55.4-60.8
Electronic computers. Computer science
QA75.5-76.95
- Language
- English
- ISSN
- 1999-4893
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.