A survey on applications and variants of the cuckoo search algorithm
This paper introduces a comprehensive and exhaustive overview of the cuckoo search
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
Cuckoo search: a brief literature review
I Fister, XS Yang, D Fister, I Fister - … search and firefly algorithm: Theory and …, 2014 - Springer
Cuckoo search (CS) was introduced by Xin-She Yang and Suash Deb in 2009, and it has
attracted great attention due to its promising efficiency in solving many optimization …
attracted great attention due to its promising efficiency in solving many optimization …
Improving short-term wind power prediction using hybrid improved cuckoo search arithmetic-support vector regression machine
Wind power is fluctuant and intermittent, which has an impact on the power grid. Large-scale
wind power is a serious threat to the stability and security of the power system. Accurate …
wind power is a serious threat to the stability and security of the power system. Accurate …
Cuckoo search algorithm with explosion operator for modeling proton exchange membrane fuel cells
Y Chen, N Wang - International Journal of Hydrogen Energy, 2019 - Elsevier
Developing an accurate model is important to design and simulation of the fuel cell systems.
In this work, we propose a cuckoo search algorithm with explosion operator (CS-EO) to …
In this work, we propose a cuckoo search algorithm with explosion operator (CS-EO) to …
A modified nature inspired meta-heuristic whale optimization algorithm for solving 0–1 knapsack problem
M Abdel-Basset, D El-Shahat, AK Sangaiah - International Journal of …, 2019 - Springer
The Whale optimization algorithm (WOA) is one of the most recent nature-inspired meta-
heuristic optimization algorithms, which simulates the social character of the humpback …
heuristic optimization algorithms, which simulates the social character of the humpback …
A survey of swarm algorithms applied to discrete optimization problems
J Krause, J Cordeiro, RS Parpinelli… - Swarm intelligence and bio …, 2013 - Elsevier
Most swarm intelligence algorithms were devised for continuous optimization problems.
However, they have been adapted for discrete optimization as well with applications in …
However, they have been adapted for discrete optimization as well with applications in …
A novel quantum inspired cuckoo search for knapsack problems
A Layeb - International Journal of bio-inspired Computation, 2011 - inderscienceonline.com
This paper presents a new inspired algorithm called quantum inspired cuckoo search
algorithm (QICSA). This one is a new framework relying on quantum computing principles …
algorithm (QICSA). This one is a new framework relying on quantum computing principles …
Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images
Glaucoma, commonly known as the silent thief of sight, is the second most common cause of
blindness in humans, and the number of cases is steadily increasing. Conventional …
blindness in humans, and the number of cases is steadily increasing. Conventional …
Hybrid self-adaptive cuckoo search for global optimization
Adaptation and hybridization typically improve the performances of original algorithm. This
paper proposes a novel hybrid self-adaptive cuckoo search algorithm, which extends the …
paper proposes a novel hybrid self-adaptive cuckoo search algorithm, which extends the …
An improved binary cuckoo search algorithm for solving unit commitment problems: Methodological description
The unit commitment problem is a large-scale, nonlinear, and mixed-integer optimization
problem in an electric power system. Numerous researchers concentrate on minimizing its …
problem in an electric power system. Numerous researchers concentrate on minimizing its …