Firefly algorithm: recent advances and applications
Xin-She Yang,Xingshi He +1 more
- 12 Aug 2013
- Vol. 1, Iss: 1, pp 36
TL;DR: It is concluded that metaheuristics such as firefly algorithm are better than the optimal intermittent search strategy and their implications for higherdimensional optimisation problems.
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Abstract: Nature-inspired metaheuristic algorithms, especially those based on swarm intelligence, have attracted much attention in the last ten years. Firefly algorithm appeared in about five years ago, its literature has expanded dramatically with diverse applications. In this paper, we will briefly review the fundamentals of firefly algorithm together with a selection of recent publications. Then, we discuss the optimality associated with balancing exploration and exploitation, which is essential for all metaheuristic algorithms. By comparing with intermittent search strategy, we conclude that metaheuristics such as firefly algorithm are better than the optimal intermittent search strategy. We also analyse algorithms and their implications for higherdimensional optimisation problems.
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References
Cuckoo Search via Lévy flights
Xin-She Yang,Suash Deb +1 more
- 01 Dec 2009
TL;DR: A new meta-heuristic algorithm, called Cuckoo Search (CS), is formulated, based on the obligate brood parasitic behaviour of some cuckoo species in combination with the Lévy flight behaviour ofSome birds and fruit flies, for solving optimization problems.
•Book
Nature-Inspired Metaheuristic Algorithms
Xin-She Yang
- 01 Feb 2008
TL;DR: This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization, harmony search, and firefly algorithms.
4.9K
A New Metaheuristic Bat-Inspired Algorithm
Xin-She Yang
- 23 Apr 2010
TL;DR: The Bat Algorithm as mentioned in this paper is based on the echolocation behavior of bats and combines the advantages of existing algorithms into the new bat algorithm to solve many tough optimization problems.
4.4K
Firefly algorithms for multimodal optimization
Xin-She Yang
- 26 Oct 2009
TL;DR: In this article, a new Firefly Algorithm (FA) was proposed for multimodal optimization applications. And the proposed FA was compared with other metaheuristic algorithms such as particle swarm optimization (PSO).
•Posted Content
A New Metaheuristic Bat-Inspired Algorithm
TL;DR: The Bat Algorithm as mentioned in this paper is based on the echolocation behavior of bats and combines the advantages of existing algorithms into the new bat algorithm to solve many tough optimization problems.
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