Cat Swarm Optimization
By Shu-Chuan Chu, Pei-wei Tsai, Jeng‐Shyang Pan. Pacific Rim International Conference on Artificial Intelligence, 2006
787 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computational Theory and Mathematics
View Paper: https://www.semanticscholar.org/paper/0bdc738dd8ea450c918414d3cc62a8219df157b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Laith Mohammad Abualigah
- Farzad Kiani
- Amir Seyyedabbasi
- Maziar Yazdani
- Ganapati Panda
- Satyasai Jagannath Nanda
- Fariborz Jolai
- Absalom El-Shamir Ezugwu
In Computational Theory and Mathematics
- Farzad Kiani
- Amir Seyyedabbasi
- Ganapati Panda
- Satyasai Jagannath Nanda
- Maziar Yazdani
- Fariborz Jolai
- Iztok Fister
- Ali Wagdy Mohamed
Citations in the corpus
- COMPUTATIONAL INTELLIGENCE BASED ON THE BEHAVIOR OF CATS (2007, background): “This paper considers the extended results of the previous work of the conference paper [17] by adding further descriptions and experiments.”
- An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges (2023, neutral): “192 Fast Bacterial Swarming Algorithm (FBSA) Chu et al. (2008)”
- Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm (2022, methodology): “…Mating Optimizer (BMO), swarming around hive by honey bees Cuckoo Optimization Algorithm (COA), echo-cancellation Cuckoo Search Optimization (CSO) [27], hunting behavior and social hierarchy Dolphin Echolocation Optimization (DEO), social interaction and food foraging Dragonfly algorithm (DFA),…”
- Swarm Intelligence Algorithms for Feature Selection: A Review (2018, methodology): “ABC Artificial Bee Colony Algorithm [112] ABO African Buffalo Optimization [113] ACO Ant Colony Optimization [8] AFSA Artificial Fish Swarm Algorithm [114] ALO Antlion Optimizer [115] BA Bat Algorithm [116] BA* Bees Algorithm [117] BA** Beaver Algorithm [118] BBMO Bumble Bees Mating Optimization [11”
- Metaheuristic algorithms for PID controller parameters tuning: review, approaches and open problems (2022, neutral): “2006 Cat swarm optimization Chu et al. (2006) 24.”
- Lion Optimization Algorithm (LOA): A nature-inspired metaheuristic algorithm (2016, positive): “The Cat Swarm algorithm [29] was developed based on the behavior of cats.”
- Spider wasp optimizer: a novel meta-heuristic optimization algorithm (2023, methodology): “2013), Cat optimization algorithm (Chu et al. 2006), chicken swarm optimization (Meng 2014), artificial gorilla troops optimizer (GTO) (Abdollahzadeh et al.”
- Sand Cat swarm optimization: a nature-inspired algorithm to solve global optimization problems (2022, methodology): “Its results are compared with seven well-known algorithms (BWO [16], GSA [18], PSO [25], GWO [32], WOA [34], CSO [39], and SSA [42]).”
- A survey on nature inspired metaheuristic algorithms for partitional clustering (2014, methodology): “Cat Swarm Optimization (CSO) – The CSO algorithm is proposed by Chu and Tsai [269,270] by observing the natural hunting”
- Gaining-sharing knowledge based algorithm for solving optimization problems: a novel nature-inspired algorithm (2019, methodology): “2006 317 [42] Invasive weed optimization Mehrabian and Lucas 2006 876 [43] Termite swarm algorithm Roth and Wicker 2006 37 [44] Virtual ant algorithm Yang et al.”