2014
DOI: 10.1108/ijicc-12-2013-0052
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A fuzzy imperialistic competitive algorithm for optimizing convex functions

Abstract: Purpose – The purpose of this paper is to describe imperialist competitive algorithm (ICA), a novel socio-politically inspired optimization strategy for proposing a fuzzy variant of this algorithm. ICA is a meta-heuristic algorithm for dealing with different optimization tasks. The basis of the algorithm is inspired by imperialistic competition. It attempts to present the social policy of imperialisms (referred to empires) to control more countries (referred to colonies) and use their sources. … Show more

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Cited by 2 publications
(3 citation statements)
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“…ICA is one of the recent EAs proposed to solve optimization problems. ICA was first proposed by Atashpaz Gargari and Lucas (2007), and up to now, it has been used to solve continuous optimization problems (Esmaeilzadeh et al, 2014). The problem which is considerable is that "what can affect the optimization process?"…”
Section: Clustering Algorithm Selectionmentioning
confidence: 99%
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“…ICA is one of the recent EAs proposed to solve optimization problems. ICA was first proposed by Atashpaz Gargari and Lucas (2007), and up to now, it has been used to solve continuous optimization problems (Esmaeilzadeh et al, 2014). The problem which is considerable is that "what can affect the optimization process?"…”
Section: Clustering Algorithm Selectionmentioning
confidence: 99%
“…Fuzzy logic is a probabilistic logic; it is an approximation rather than fixed and exact. Compared to traditional binary sets (where variables may take on true or false values), fuzzy logic variables may have a truth value that ranges in degree between 0 and 1 (Esmaeilzadeh et al, 2014). Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false (Novk et al, 1999).…”
Section: Clustering Algorithm Selectionmentioning
confidence: 99%
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