Firefly algorithm: recent advances and applications
Xin-She Yang,Xingshi He +1 more
- Vol. 1, Iss: 1, pp 36
TLDR
It is concluded that metaheuristics such as firefly algorithm are better than the optimal intermittent search strategy and their implications for higherdimensional optimisation problems.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.read more
Citations
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Journal ArticleDOI
Bio inspired computing - A review of algorithms and scope of applications
TL;DR: This review identifies the popularly used algorithms within the domain of bio-inspired algorithms and discusses their principles, developments and scope of application, which would pave the path for future studies to choose algorithms based on fitment.
Journal ArticleDOI
A mayfly optimization algorithm
TL;DR: The processes of nuptial dance and random flight enhance the balance between algorithm’s exploration and exploitation properties and assist its escape from local optima.
Journal ArticleDOI
Lightning search algorithm
TL;DR: A novel metaheuristic optimization method called the lightning search algorithm (LSA) to solve constraint optimization problems based on the natural phenomenon of lightning and the mechanism of step leader propagation using the concept of fast particles known as projectiles.
Journal ArticleDOI
Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran
TL;DR: In this article, water resources management in watersheds are managed under varying shares of water balance under different climatic conditions, and its correct prediction poses a significant challenge before water resource management.
Book ChapterDOI
Swarm Intelligence and Bio-Inspired Computation: An Overview
Xin-She Yang,Mehmet Karamanoglu +1 more
TL;DR: This chapter provides an overview of some of the most widely used bio-inspired algorithms, especially those based on SI such as cuckoo search, firefly algorithm, and particle swarm optimization, and analyzes the essence of algorithms and their connections to self-organization.
References
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Proceedings ArticleDOI
Cuckoo Search via Lévy flights
Xin-She Yang,Suash Deb +1 more
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
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.
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.
Book ChapterDOI
Firefly algorithms for multimodal optimization
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).
Journal ArticleDOI
Metaheuristics in combinatorial optimization: Overview and conceptual comparison
Christian Blum,Andrea Roli +1 more
TL;DR: A survey of the nowadays most important metaheuristics from a conceptual point of view and introduces a framework, that is called the I&D frame, in order to put different intensification and diversification components into relation with each other.