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.
Highlights
Inspired by the universal law of gravitation, Rashedi et al (2009) proposed the Gravitational Search Algorithm (GSA) as a heuristic optimization method
In a recent article the authors reviewed the principles of gravitational search algorithm (GSA), how they are applied to the optimization problem, and the key ideas behind GSA (Siddique, Adeli 2016)
This paper presents a review of GSA applications for solution of engineering problems
Summary
Inspired by the universal law of gravitation, Rashedi et al (2009) proposed the Gravitational Search Algorithm (GSA) as a heuristic optimization method. In a recent article the authors reviewed the principles of gravitational search algorithm (GSA), how they are applied to the optimization problem, and the key ideas behind GSA (Siddique, Adeli 2016). They presented a review of GSA and its variants and summarized guidelines from the literature on the choice of parameters used in GSA for effective solution of optimization problems. GSA was first applied to well-known benchmark combinatorial optimization problems (Rashedi et al 2009, 2011). Since GSA has found a wide range of applications. This paper presents a review of GSA applications for solution of engineering problems
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