Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
By E. Atashpaz-Gargari, C. Lucas. IEEE Congress on Evolutionary Computation, 2007
2,674 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Signal Processing
View Paper: https://www.semanticscholar.org/paper/c14976e9afb69a78e682c32f900b96b019878df8
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In Artificial Intelligence
- Seyedali Mirjalili
- Swagatam Das
- Amir H. Gandomi
- Xin-She Yang
- Andrew Lewis
- Laith Mohammad Abualigah
- Gaurav Dhiman
- Vijay Kumar
In Signal Processing
- Hoang Nguyen
- Peixin Qiao
- Behnam Mohammadi-Ivatloo
- David Camacho
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- Mehdi Ehsan
- Vijay Kumar
- Carlos Artemio Coello Coello
Citations in the corpus
- A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning (2019, methodology): “Inspired by the simulation of a computer of human social evolution, the ICA was proposed by Atashpaz-Gargari, Lucas [47] to solve optimization problems.”
- An imperialist competitive algorithm for optimal design of plate-fin heat exchangers (2012, methodology): “Flowchart of the imperialist competitive algorithm [22].”
- An improved discrete bat algorithm for symmetric and asymmetric Traveling Salesman Problems (2016, methodology): “…Imanian et al.(2014)Imanian, Shiri & Moradi], [Moayedikia et al.(2015)Moayedikia, Jensen, Wiil & Forsati]), the imperialist competitive algorithm, presented by Gargari and Lucas in 2007 ([Atashpaz-Gargari & Lucas(2007)]), or the firefly algorithm, proposed by Yang in 2009 ([Yang(2009)]).”
- Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning (2014, methodology): “In recent years, there are a lot of population-based swarm intelligence algorithms existed, such as ant colony optimization, particle swarm optimization (Kennedy and Eberhart, 1995), artificial bee colony algorithm (Karaboga, 2005; Karaboga and Basturk, 2007), imperialist competitive algorithm (Esma”
- The Whale Optimization Algorithm (2016, background): “Some of the most popular algorithms are Teaching Learning Based Optimization(TLBO) [36,37] , Harmony Search (HS) [38] , Tabu (Taboo) Search (TS) [39–41] , Group Search Optimizer (GSO) [42,43] , Imperialist Competitive Algorithm (ICA) [44] , League Championship Algorithm (LCA) [45,46] , Firework Algo”
- A new screening tool for evaluation of steamflooding performance in Naturally Fractured Carbonate Reservoirs (2013, background): “, Atashpaz-Gargari and Lucas [69] is recommended to optimize an appropriate ANN structure for the case under study.”
- A Survey of Multi-Objective Optimization in Wireless Sensor Networks: Metrics, Algorithms, and Open Problems (2016, background): “• Imperialist Competitive Algorithm (ICA): Inspired by the socio-political evolution process of imperialism and imperial-istic competition, ICA was originally proposed by Atashpaz-Gargari and Lucas in 2007 [202].”
- The Arithmetic Optimization Algorithm (2021, methodology): “One of the most used algorithms in this group is the Imperialist Competitive Algorithm [28], which is motivated by the human socio-political growth practice.”