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Journal ArticleDOI

A survey on applications and variants of the cuckoo search algorithm

TLDR
A comprehensive review of all conducting intensive research survey into the pros and cons, main architecture, and extended versions of this algorithm.
About
This article is published in Applied Soft Computing.The article was published on 2017-12-01. It has received 216 citations till now. The article focuses on the topics: Cuckoo search & Metaheuristic.

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Citations
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Journal ArticleDOI

A survey on new generation metaheuristic algorithms

TL;DR: In this survey, fourteen new and outstanding metaheuristics that have been introduced for the last twenty years other than the classical ones such as genetic, particle swarm, and tabu search are distinguished.
Journal ArticleDOI

Salp swarm algorithm: a comprehensive survey

TL;DR: An exhaustive and a comprehensive review of the so-called salp swarm algorithm (SSA) and discussions its main characteristics, including its variants, like binary, modifications and multi-objective.
Journal ArticleDOI

Advances in Sine Cosine Algorithm: A comprehensive survey

TL;DR: The Sine Cosine Algorithm (SCA) as mentioned in this paper is a population-based optimization algorithm introduced by Mirjalili in 2016, motivated by the trigonometric sine and cosine functions.
Journal ArticleDOI

Moth–flame optimization algorithm: variants and applications

TL;DR: This paper thoroughly presents a comprehensive review of the so-called moth–flame optimization (MFO) and analyzes its main characteristics, focusing on the current work on MFO, highlight its weaknesses, and suggest possible future research directions.
Journal ArticleDOI

On the exploration and exploitation in popular swarm-based metaheuristic algorithms

TL;DR: The outcome of empirical study suggested that coherence and consistency in the swarm individuals throughout iterations is the key to success in swarm-based metaheuristics.
References
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Journal ArticleDOI

Optimization by Simulated Annealing

TL;DR: There is a deep and useful connection between statistical mechanics and multivariate or combinatorial optimization (finding the minimum of a given function depending on many parameters), and a detailed analogy with annealing in solids provides a framework for optimization of very large and complex systems.
BookDOI

Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control and Artificial Intelligence

TL;DR: Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways.
Proceedings ArticleDOI

Cuckoo Search via Lévy flights

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.