Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition

Atashpaz-Gargari, Esmaeil; Lucas, Caro

doi:10.1109/cec.2007.4425083

Cited by 1,863 publications

(1,113 citation statements)

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“…Imperialist competitive algorithm was introduced first time by E.A.Gargary and C.Lucas in 2007 [7]. It is a global heuristic search method that uses imperialism and imperialistic competition process as a source of inspiration.…”

Section: Brief Description Of Imperialist Competitive Algorithmmentioning

confidence: 99%

“…In this ideal new world colonies have the same position and power as the imperialist [7], [8]. To determine the optimum membership function, the algorithm is initialized by number of 120 countries and 10 empires.…”

Section: Brief Description Of Imperialist Competitive Algorithmmentioning

confidence: 99%

“…[7], [8]. In this study, ICA is employed to obtain the optimum membership function for inputs and outputs variables in fuzzy gain scheduling structure.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Applying a Novel Fuzzy-PI Controller on the Model of Continuous Stirred Tank Reactor

Yazdani¹,

Movahed²,

MahmoudZadeh³

2011

IJMLC

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Abstract-Continuous Stirred Tank Reactor (CSTR)presents a significant role in the most of chemical process industries. The inherent nonlinear dynamic of CSTR results in various difficulties of stabilizing and controlling of the process. Likewise, functional changes with elapsing of the time and different disturbances associated with real environment are the other hints which must put into perspective. In this paper, a novel strategy based on the combination of fuzzy gain scheduling and a socio-political optimization algorithm, imperialist competitive algorithm, has been employed to design an intelligent Fuzzy-PI controller so that it surmounts the problem of system's parameter variation throughout the controlling of CSTR temperature. The controller has two inputs which are error and derivative of error and two outputs that are the proportional gain and integral gain. The controller is updated continuously to track the changes which are occurred in the system. To obtain the high performance control, imperialist competitive algorithm was employed to determine the optimum membership functions of the input and output variables. The performance of the proposed controller has been consider based on the Sum of the Square Error (SSE) and Integral Absolute Error(IAE) Criteria. In addition, conventional PI controller and classic online PI controller were applied to the system for the performance comparison. The results clearly indicate the robustness of Fuzzy-PI controller in dealing with uncertainties throughout the tracking of the reference signal. Fuzzy-PI controller also embodies an outstanding accuracy of tracking which leads to the least tracking error criterion.

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Section: Brief Description Of Imperialist Competitive Algorithmmentioning

confidence: 99%

Section: Brief Description Of Imperialist Competitive Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Applying a Novel Fuzzy-PI Controller on the Model of Continuous Stirred Tank Reactor

Yazdani¹,

Movahed²,

MahmoudZadeh³

2011

IJMLC

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“…The imperialist competitive algorithm (ICA) is a novel populationbased meta-heuristic algorithm proposed by AtashpazGargari and Lucas (2007), mimicking the socio-political process of imperialism and imperialistic competition as a source of inspiration (Khabbazi, Atashpaz-Gargari, and Lucas, 2009). The algorithm's capability in dealing with different types of optimization problems has been proven by the authors (Atashpaz-Gargari and Lucas, 2007). Similar to any evolutionary algorithm, ICA also starts with an initial population of solutions, called countries, representing the concept of nations.…”

mentioning

confidence: 99%

“…Referring to vector D, the mentioned colonies in an empire whose corresponding index in D is maximum will win the possession competition (Atashpaz-Gargari and Lucas, 2007).…”

mentioning

confidence: 99%

Integration of commodity price uncertainty in long-term open pit mine production planning by using an imperialist competitive algorithm

Asl

Sattarvand

2018

J. S. Afr. Inst. Min. Metall.

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Social optimization algorithm with application to economic dispatch problem

Karimi

Khandani

2020

Int Trans Electr Energ Syst

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Summary In this paper, a new population‐based meta‐heuristic algorithm called Social Optimization Algorithm (SOA) is proposed. This algorithm has been inspired by the social behavior of human‐beings, and mimics an ideal justly‐established society where the two principles of justice, that is, equality of opportunity and community principles are meticulously followed. Reaching goals in such a society is optimally achieved. Although a real fully‐just society does not exist in the real world, we implement the principles in such ideal societies through simulations to introduce our new optimization algorithm. The advantage of the proposed method is that it does not have any algorithm‐specified parameters to be set. This is a great merit compared to similar meta‐heuristics. The algorithm has been simulated on 23 well‐known test functions, and the results have been compared with those produced by Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA) and Differential Evolution (DE). In 57% of the 23 cases SOA yields superior results. The algorithm has also been tested on five other benchmark functions to be compared with Teaching‐Learning‐Based Optimization (TLBO) and Artificial Bee Colony (ABC).The results provide evidence for efficient performance with superior solution quality of the proposed algorithm in solving benchmark problems. To further illustrate the effectiveness of the proposed algorithm, it has been tested on the Economic Dispatch problem as a real‐world constrained optimization problem. The results have been compared with Biogeography‐Based Optimizer (BBO), Harmony Search (HS) and PSO. The results show that the SOA is able to produce very competitive results compared to other well‐known meta‐heuristic algorithms. Meta‐heuristic, SOA, Economic Dispatch.

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Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition

Cited by 1,863 publications

References 9 publications

Applying a Novel Fuzzy-PI Controller on the Model of Continuous Stirred Tank Reactor

Applying a Novel Fuzzy-PI Controller on the Model of Continuous Stirred Tank Reactor

Integration of commodity price uncertainty in long-term open pit mine production planning by using an imperialist competitive algorithm

Social optimization algorithm with application to economic dispatch problem

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