Journal ArticleDOI
A comprehensive review of cuckoo search: variants and hybrids
Iztok Fister,Dušan Fister +1 more
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TLDR
A timely review of all the state-of-the-art developments in the last five years of Cuckoo search, including the discussions of theoretical background and research directions for future development of this powerful algorithm.Abstract:
Cuckoo search (CS) is an efficient swarm-intelligence-based algorithm and significant developments have been made since its introduction in 2009. CS has many advantages due to its simplicity and efficiency in solving highly non-linear optimisation problems with real-world engineering applications. This paper provides a timely review of all the state-of-the-art developments in the last five years, including the discussions of theoretical background and research directions for future development of this powerful algorithm.read more
Citations
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Journal ArticleDOI
A new metaheuristic optimisation algorithm motivated by elephant herding behaviour
TL;DR: A new swarm-based metaheuristic algorithm, called elephant herding optimisation EHO, is proposed for solving global optimisation tasks, which is inspired by the herding behaviour of the elephant groups.
Journal ArticleDOI
A Novel Improved Cuckoo Search Algorithm for Parameter Estimation of Photovoltaic (PV) Models
TL;DR: The proposed ImCSA is considered as a promising alternative to accurately and reliably estimate parameters of PV models and is capable of finding the best values of parameters for the PV models in such effective way for giving the best possible approximation to the experimental I-V data of real PV cells and modules.
Journal ArticleDOI
A novel hybrid self-adaptive bat algorithm.
TL;DR: This paper hybridized the self-adaptive bat algorithm using different DE strategies and applied these as a local search heuristics for improving the current best solution directing the swarm of a solution towards the better regions within a search space.
Journal ArticleDOI
A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems
TL;DR: A set of well-known mathematical benchmark functions are compiled to provide an easily accessible collection of standard benchmark test problems for continuous global optimisation.
Journal ArticleDOI
Achievement of minimized combinatorial test suite for configuration-aware software functional testing using the Cuckoo Search algorithm
TL;DR: In this paper, a new approach is used to generate combinatorial test suites for a new type of application and case study by using Cuckoo Search concepts, which is evaluated through different benchmarks and it is able to get comparative results.
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.
Book
Computers and Intractability: A Guide to the Theory of NP-Completeness
TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Journal ArticleDOI
No free lunch theorems for optimization
TL;DR: A framework is developed to explore the connection between effective optimization algorithms and the problems they are solving and a number of "no free lunch" (NFL) theorems are presented which establish that for any algorithm, any elevated performance over one class of problems is offset by performance over another class.
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.