A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research
By Seyedmohsen Hosseini, Abdullah Al Khaled. Applied Soft Computing, 2014
296 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/ae956e0f30bc2a6cf4fb41f4d64261fe7908c83a
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
In Computer Networks and Communications
- Zhi-hui Zhan
- Kay Chen Tan
- Wei-neng Chen
- Jun Zhang
- Yaochu Jin
- Yue-jiao Gong
- Yun Li
- Maria Alejandra Rodriguez
Citations in the corpus
- Distributed evolutionary algorithms and their models: A survey of the state-of-the-art (2015, background): “Besides, some brand new branches of EC, such as the imperialist competitive algorithm (ICA) [60] and the social learning algorithm (SLA) [54], can be adopted as baseline algorithms for possible performance enhancement.”
- Evolutionary Large-Scale Multi-Objective Optimization: A Survey (2021, methodology): “…those in the genetic algorithm, particle swarm optimization, bat algorithm [74], sine cosine algorithm [117], imperialist competitive algorithm [69], whale optimization algorithm [118], trader optimization algorithm [114], heat transfer search [130], and moth-flame optimization algorithm [116].”