Election algorithm: A new socio-politically inspired strategy

Author:

Emami Hojjat1,Derakhshan Farnaz2

Affiliation:

1. Computer Engineering Department, Miandoab Branch, Islamic Azad University, Miandoab, Iran. E-mail: hojjatemami@yahoo.com

2. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran. E-mail: derakhshan@tabrizu.ac.ir

Publisher

IOS Press

Subject

Artificial Intelligence

Reference28 articles.

1. [1]E. Atashpaz-Gargari and C. Lucas, Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition, in: 2007 IEEE Congress on Evolutionary Computation, 2007, pp. 4661–4667.

2. A review of population-based meta-heuristic algorithms;Beheshti;Int. J. Adv. Soft Comput. Appl.,2013

3. Self-adapting control parameters in differential evolution: A comparative study on numerical benchmark problems;Brest;IEEE Transactions on Evolutionary Computation,2006

4. Optimization using simulated annealing;Brooks;Stat.,1995

5. Ant system: Optimization by a colony of cooperating agents;Dorigo;IEEE Trans. Syst. Man. Cybern. B. Cybern.,1996

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