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Firefly algorithms for multimodal optimization. (English) Zbl 1260.90164
Watanabe, Osamu (ed.) et al., Stochastic algorithms: Foundations and applications. 5th international symposium, SAGA 2009, Sapporo, Japan, October 26–28, 2009. Proceedings. Berlin: Springer (ISBN 978-3-642-04943-9/pbk). Lecture Notes in Computer Science 5792, 169-178 (2009).
Summary: 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 discuss its applications and implications for further research.
For the entire collection see [Zbl 1175.68023].

MSC:
90C59 Approximation methods and heuristics in mathematical programming
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