Article citationsMore>>

M. Dorigo, M. Birattari and T. Stützle, “Ant Colony Optimization: Artificial Ants as a Computational Intelligence Technique,” Computational Intelligence Magazine on IEEE, Vol. 1, No. 4, 2006, pp. 28-39. doi:10.1109/MCI.2006.329691

has been cited by the following article:

• TITLE: Swarm Intelligence in Power System Planning

  AUTHORS: Ke Meng, Z.Y. Dong, Yichen Qiao

  KEYWORDS: Power System Planning; Swarm Intelligence

  JOURNAL NAME: International Journal of Clean Coal and Energy, Vol.2 No.2B, July 24, 2013

  ABSTRACT: Power system planning is one of the essential tasks in the power system operation management, which requires in-depth knowledge of the system under consideration. It can be regarded as a nonlinear, discontinuous, constrained multi objective optimization problem. Although the traditional optimization tools can be used, the modern planning problem requires more advanced optimization tools. In this paper, a survey of state-of-the-art mathematical optimization methods that facilitates power system planning is provided, and the needs of introducing swarm intelligence approaches into power system planning are discussed.