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Applications of Gravitational Search Algorithm in Engineering

Author(s):

Medium: journal article
Language(s): lv 
Published in: Journal of Civil Engineering and Management, , n. 8, v. 22
Page(s): 981-990
DOI: 10.3846/13923730.2016.1232306
Abstract:

Gravitational search algorithm (GSA) is a nature-inspired conceptual framework with roots in gravitational kinematics, a branch of physics that models the motion of masses moving under the influence of gravity. In a recent article the authors reviewed the principles of GSA. This article presents a review of applications of GSA in engineering including combinatorial optimization problems, economic load dispatch problem, economic and emission dispatch problem, optimal power flow problem, optimal reactive power dispatch problem, energy management system problem, clustering and classification problem, feature subset selection problem, parameter identification, training neural networks, traveling salesman problem, filter design and communication systems, unit commitment problem and multiobjective optimization problems.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.3846/13923730.2016.1232306.
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  • Reference-ID
    10354321
  • Published on:
    13/08/2019
  • Last updated on:
    13/08/2019