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P. Avishek and J. Maiti, “Development of a Hybrid Methodology for Dimensionality Reduction in Mahalanobis–Taguchi System Using Mahalanobis Distance and Binary Particle Swarm Optimization,” Expert Syst Appl Vol. 37, No. 2, 2010, pp. 1286-1293. doi:10.1016/j.eswa.2009.06.011

has been cited by the following article:

• TITLE: Binary Gravitational Search based Algorithm for Optimum Siting and Sizing of DG and Shunt Capacitors in Radial Distribution Systems

  AUTHORS: N. A. Khan, S. Ghosh, S. P. Ghoshal

  KEYWORDS: Normal Load Flow; Radial Distribution System; Distributed Generation; Shunt Capacitors; Binary Particle Swarm Optimization; Binary Gravitational Search Algorithm; Total line Loss; Total Voltage Deviation

  JOURNAL NAME: Energy and Power Engineering, Vol.5 No.4B, November 12, 2013

  ABSTRACT: This paper presents a binary gravitational search algorithm (BGSA) is applied to solve the problem of optimal allotment of DG sets and Shunt capacitors in radial distribution systems. The problem is formulated as a nonlinear constrained single-objective optimization problem where the total line loss (TLL) and the total voltage deviations (TVD) are to be minimized separately by incorporating optimal placement of DG units and shunt capacitors with constraints which include limits on voltage, sizes of installed capacitors and DG. This BGSA is applied on the balanced IEEE 10 Bus distribution network and the results are compared with conventional binary particle swarm optimization.