2014
DOI: 10.1016/j.asoc.2014.08.024
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A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research

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Cited by 265 publications
(104 citation statements)
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“…The ICA algorithm has been successfully applied to a variety of optimization problems [6][7][8]. The results reported in these studies confirm its competitiveness over other EAs.…”
Section: Introductionsupporting
confidence: 58%
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“…The ICA algorithm has been successfully applied to a variety of optimization problems [6][7][8]. The results reported in these studies confirm its competitiveness over other EAs.…”
Section: Introductionsupporting
confidence: 58%
“…The results reported in these studies confirm its competitiveness over other EAs. The ease of performing neighborhood movement, less dependency on initial solutions, and having a better convergence rate are other advantages of the ICA, but due to some insufficiencies, it often gets trapped in the local optimum area, especially in multimodal and high-dimensional problems [7,9].…”
Section: Introductionmentioning
confidence: 99%
“…Selected values for the parameters used in the Petaling Jaya study area. The WCA and ICA techniques have demonstrated their viability as powerful optimization tools with great potential for solving optimization problems [31][32][33][34]. The proposed model and the corresponding optimization methods were coded and run in MATLAB programming software.…”
Section: Resultsmentioning
confidence: 99%
“…[48][49][50] Among the metaheuristic approaches, the imperialist competitive algorithm (ICA) is a population-based algorithm that was presented by Atashpaz-Gargari and Lucas 51 So far, the ICA-based approaches have been applied on different multiobjective optimization problems that were aimed at providing a set of Pareto optimal solutions, such as assembly line design 52 , coupling of photovoltaicelectrolyzer system 53 , sensor deployment in wireless sensor networks 54 , and benchmarked functions. 55,56 Hosseini and Al Khaled 57 have presented a state-of-theart literature survey on the application of ICA in different engineering disciplines. In accordance with the reviewed studies, MOICA has been found to be more efficient than the other approaches for solving engineering problems of different domains.…”
Section: Literature Reviewmentioning
confidence: 99%