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M. Dorigo, V. Maniezzo and A. Colorni, “The Ant System: Optimization by a Colony of Cooperating Agents,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 26, 1, 1996, pp. 29-41. doi:10.1109/3477.484436

has been cited by the following article:

• TITLE: A Quantum Behaved Gravitational Search Algorithm

  AUTHORS: Mohadeseh Soleimanpour Moghadam, Hossein Nezamabadi-Pour, Malihe M. Farsangi

  KEYWORDS: GSA; Quantum Mechanics; kbest; QGSA

  JOURNAL NAME: Intelligent Information Management, Vol.4 No.6, November 30, 2012

  ABSTRACT: Gravitational search algorithm (GSA) is a recent introduced global convergence guaranteed algorithm. In this paper, a quantum-behaved gravitational search algorithm, namely called as QGSA, is proposed. In the proposed QGSA each individual mass moves in a Delta potential well in feasible search space with a center which is weighted average of all kbests. The QGSA is tested on several benchmark functions and compared with the GSA. It is shown that the quantum-behaved gravitational search algorithm has faster convergence speed with good precision, and thus generating a better performance.