Optimization Algorithm of Fireworks Explosion Based on Genetic Algorithm

Dandan Wang, Kai Yang

Abstract


Fireworks algorithm is proposed in recent years, which has a strong ability to solve optimization problems. In this paper, a new algorithm, GA-FWA (Genetic Algorithm Based Fireworks Algorithm), is proposed by combining Genetic Algorithm with Fireworks Algorithm. The GA-FWA can improve the explosion radius of Fireworks Algorithm and add the crossover and mutation operation of Genetic Algorithm into Fireworks Algorithm. A large number of experiments show that the genetic algorithm based on the fireworks explosion optimization algorithm can greatly improve the search efficiency, avoid falling into the local optimal value, and improve the optimization accuracy and stability.


DOI
10.12783/dtcse/csse2018/24505

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