A Survey on Cat Swarm Optimization Algorithm
Rasheed R. Ihsan, Saman M. Almufti, Bijar M. S. Ormani, Renas R. Asaad, Ridwan B. Marqas
Asian Journal of Research in Computer Science · pp. 22–32 · Published 29 Jun 2021
10.9734/ajrcos/2021/v10i230237Abstract
Swarm based optimization algorithms are a collection of intelligent techniques in the field of Artificial Intelligence (AI) were developed for simulating the intelligent behavior of animals. Over the years ago, problems complexity increased in a means that it is very difficult for basic mathematical approaches to obtain an optimum solution in an optimal time, this leads the researchers to develop various algorithms base on the natural behaviors of living beings for solving problems. This paper present a review for Cat Swarm Optimization (CSO), which is a powerful metaheuristic swarm-based optimization algorithm inspired by behaviors of cats in the Nature for solving optimization problems. Since its first appearances in 2006, CSO has been improved and applied in different fields by many researchers. In this review, we majorly focus on the original CSO algorithm and some improved branches of CSO family algorithms. Some examples of utilizing CSO to solve problems in engineering are also reviewed.
References (35)
- 1 Optimization, Learning and Natural Algorithms
- 2 Artificial bee colony algorithm [DOI]
- 3 Cat Swarm Optimization [DOI]
- 4 Solving multiobjective problems using cat swarm optimization [DOI]
- 5 Cat Swarm Optimization Algorithm: A Survey and Performance Evaluation [DOI]
- 6 Enhanced parallel cat swarm optimization based on the Taguchi method [DOI]
- 7 Parallel Cat Swarm Optimization [DOI]
- 8 Cat Swarm Optimization for Clustering [DOI]
- 9 Historical survey on metaheuristics algorithms [DOI]
- 10 A Novel Cat Swarm Optimization Algorithm for Unconstrained Optimization Problems [DOI]
- 11 Discrete binary cat swarm optimization algorithm [DOI]
- 12 Nature-Inspired Algorithms: State-of-Art, Problems and Prospects [DOI]
- 13 Improved Cat Swarm Optimization for Simultaneous Allocation of DSTATCOM and DGs in Distribution Systems [DOI]
- 14 Solving the high school timetabling problem using a hybrid cat swarm optimization based algorithm [DOI]
- 15 Average-Inertia Weighted Cat Swarm Optimization [DOI]
- 16 Optimizing Artificial Neural Networks using Cat Swarm Optimization Algorithm [DOI]
- 17 A comparative study of particle swarm optimization and genetic algorithm [DOI]
- 18 Using Swarm Intelligence for solving NPHard Problems [DOI]
- 19 Bat algorithm (BA): review, applications and modifications [DOI]
- 20 Comparative study between elephant herding optimization (EHO) and U-turning ant colony optimization (U-TACO) in solving symmetric traveling salesman problem (STSP) [DOI]
- 21 Cat Swarm Optimization Based Functional Link Artificial Neural Network Filter for Gaussian Noise Removal from Computed Tomography Images [DOI]
- 22 An Improved Cat Swarm Optimization Algorithm Based on Opposition-Based Learning and Cauchy Operator for Clustering [DOI]
- 23 A HYBRID METHOD OF MODIFIED CAT SWARM OPTIMIZATION AND GRADIENT DESCENT ALGORITHM FOR TRAINING ANFIS [DOI]
- 24 Notice of Retraction Emotion recognition based on CSO&SVM in e-learning [DOI]
- 25 U-Turning Ant Colony Algorithm for Solving Symmetric Traveling Salesman Problem [DOI]
- 26 Binary cat swarm optimization versus binary particle swarm optimization for transformer health index determination [DOI]
- 27 Boolean Binary Cat Swarm Optimization Algorithm [DOI]
- 28 Time Series Forecasting Based on Cloud Process Neural Network [DOI]
- 29 A hybrid cat swarm optimization - crow search algorithm for vehicle routing problem with time windows [DOI]
- 30 Enhanced Hybrid Cat Swarm Optimization Based on Fitness Approximation Method for Efficient Motion Estimation [DOI]
- 31 A Comparative Study of CSO and PSO Trained Artificial Neural Network for Stock Market Prediction [DOI]
- 32 A WNN-CSO model for accurate forecasting of chaotic and nonlinear time series [DOI]
- 33 Particle Swarm Clustering Optimization - a novel Swarm Intelligence approach to Global Optimization [DOI]
- 34 Performance Comparison of Cat Swarm Optimization and Genetic Algorithm on Optimizing Functions [DOI]
- 35 U-Turning Ant Colony Algorithm powered by Great Deluge Algorithm for the solution of TSP Problem [DOI]
Cited by 62
Pei-Wei Tsai, Swinburne University of Technology, Australia, Xingsi Xue · Applied Computing and Intelligence · 2021
Laith Abualigah, Aya Abusaleem, Abiodun M. Ikotun · Metaheuristic Optimization Algorithms · 2024
Shayesteh Tabatabaei · 2023
Kirti Pandey, C. K. Jha · Algorithms for Intelligent Systems · 2023
Showing 34 of 62 known citations — external sources report more than can currently be individually listed.
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