An improved cuckoo search optimization algorithm with genetic algorithm for community detection in complex networks

• Published in: Multimedia tools and applications Vol. 81; no. 18; pp. 25205 - 25231
• Main Authors: Shishavan, Saeid Talebpour, Gharehchopogh, Farhad Soleimanian
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.07.2022; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Convergence; Criteria; Data Structures and Information Theory; Exploitation; Genetic algorithms; Modularity; Multimedia Information Systems; Networks; Optimization; Search algorithms; Special Purpose and Application-Based Systems; Swarm intelligence; Community detection; Cuckoo search optimization algorithm; Genetic algorithm; Complex networks

This paper improved Cuckoo Search Optimization (CSO) algorithm with a Genetic Algorithm (GA) for community detection in complex networks. CSO algorithm has problems such as premature convergence, delayed convergence, and getting trapped in the local trap. GA has been quite successful in terms of com...