Firefly Algorithms for Multimodal Optimization

Details Firefly Algorithms for Multimodal Optimization Firefly Algorithms for Multimodal Optimization

2010-03-07

arxiv.org/abs/1003.1466v1

X.-S. Yang, Firefly algorithms for multimodal optimization, in: Stochastic Algorithms: Foundations and Applications, SAGA 2009

Mathematics

Optimization and Control

Scientific paper

Nature-inspired algorithms are among the most powerful algorithms for optimization. This paper intends to provide a detailed description of a new Firefly Algorithm (FA) for multimodal optimization applications. We will compare the proposed firefly algorithm with other metaheuristic algorithms such as particle swarm optimization (PSO). Simulations and results indicate that the proposed firefly algorithm is superior to existing metaheuristic algorithms. Finally we will discuss its applications and implications for further research.

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