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Cuckoo Search Optimization- A Review

Materials Today: Proceedings, 2017
Abstract The Cuckoo Search algorithm is a recently developed meta-heuristic optimization algorithm, which is used for solving optimization problems. This is a nature-inspired metaheuristic algorithm, which is based on the brood parasitism of some cuckoo species, along with Levy flights random walks.
Omkar Kulkarni
exaly   +2 more sources

Snap-drift cuckoo search: A novel cuckoo search optimization algorithm

Applied Soft Computing Journal, 2017
Hojjat Rakhshani, Amin Rahati
exaly   +2 more sources

Chaotic cuckoo search

Soft Computing, 2015
This study proposes a novel chaotic cuckoo search (CCS) optimization method by incorporating chaotic theory into cuckoo search (CS) algorithm. In CCS, chaos characteristics are combined with the CS with the intention of further enhancing its performance. Further, the elitism scheme is incorporated into CCS to preserve the best cuckoos.
Gai-Ge Wang   +4 more
openaire   +1 more source

Cuckoo Search Algorithm

2019
Optimization problem exists in many domains, such as engineering, energy, economics, medical, and computer science. It is mainly concerned with finding the optimal values for several decision variables to form a solution to optimization problem. This solution is considered optimal when the decision maker is satisfied with it. An optimization problem is
Ali Kaveh, Taha Bakhshpoori
  +4 more sources

Analysis of Cuckoo Search Efficiency

2019 IEEE Congress on Evolutionary Computation (CEC), 2019
Optimizing the parameters of a bio-inspired algorithm is naturally the main path to improve its performance. The distribution used in the displacement and creation of new solutions is also a factor to consider when enhancing its capacity. In this work, the efficiency of cuckoo search (CS) and self-adaptive cuckoo search algorithms (SACS) is ...
Carlos Eduardo M. Barbosa   +1 more
openaire   +1 more source

Complex valued cuckoo search with local search

2013 Ninth International Conference on Natural Computation (ICNC), 2013
Aiming at eliminating the defects of slow search speed and low accuracy of cuckoo search for function optimization, the paper proposed a complex-valued cuckoo search algorithm with local search. The results of function testing show that the improved algorithm has better performance and it can do well in high dimensional optimization.
Rui-min Jia, Deng-xu He
openaire   +1 more source

Parameters Estimation of Ultrasonics Echoes using the Cuckoo Search and Adaptive Cuckoo Search Algorithms

2018 26th European Signal Processing Conference (EUSIPCO), 2018
In this study we present a novel approach to estimate ultrasonic echo pattern using the two algorithms: Cuckoo Search (CS) and Adaptive Cuckoo Search (ACS). We model ultrasonic backscattered echoes in terms of superimposed Gaussian echoes corrupted by noise. Each Gaussian echo in the model is a non linear function of a set of parameters: echo bandwidth,
Farid Chibane   +2 more
openaire   +1 more source

Cuckoo search algorithm with deep search

2017 3rd IEEE International Conference on Computer and Communications (ICCC), 2017
Cuckoo search algorithm (CS) is a kind of bionic swarm optimization algorithm, which is simple and convenient. Although it has obvious advantages, it cannot converge to the optimal solution when dealing with high dimensional complex problems, so its global search ability needs to be improved.
Cai Zefan, Yang Xiaodong
openaire   +1 more source

Color Image Segmentation By Cuckoo Search

Intelligent Automation & Soft Computing, 2015
In this paper, a clustering based color image segmentation technique is proposed and the clustering technique is optimized by the cuckoo search method. The proposed approach consists of two phase segmentation processes. In the first phase, cluster centres are optimized by using the cuckoo search algorithm and in the second phase, empty and frequent ...
Sudarshan Nandy   +3 more
openaire   +1 more source

Cuckoo search with varied scaling factor

Frontiers of Computer Science, 2015
Cuckoo search (CS), inspired by the obligate brood parasitic behavior of some cuckoo species, iteratively uses Levy flights random walk (LFRW) and biased/selective random walk (BSRW) to search for new solutions. In this study, we seek a simple strategy to set the scaling factor in LFRW, which can vary the scaling factor to achieve better performance ...
Lijin Wang, Yilong Yin, Yiwen Zhong
openaire   +1 more source

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