Article citationsMore>>

F. V. D. Bergh and A. P. Engelbrecht, “A Study of Particle Swarm Optimization Particle Trajectories,” Information Sciences, Vol. 176, No. 8, 2006, pp. 937-971. doi:10.1016/j.ins.2005.02.003

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.