An improved gravitational search algorithm for solving an electromagnetic design problem

Abstract

Gravitational Search Algorithm (GSA) is a novel optimization technique that depends upon the law of motion and law of gravity of masses interaction between the agents. GSA has shown outstanding performance but has a drawback of having a slow exploitation process due to the fitness function influence on masses of the agents. As a result, after each iteration, the masses are getting heavier and restricts the movement. For that reason, masses cancel out the gravitational forces on each other and restricting them from quickly exploiting the optimum. To overcome this limitation, an improved GSA (IGSA) with a modified exploitation strategy is proposed in this paper. The primary aim of modification is to enhance the proficiency of the algorithm in terms of faster convergence and avoid premature convergence. An electromagnetic optimization problem is used to validate the performance of the presented method. Simulation results confirmed that the proposed method has outstanding results in solving the Loney's Solenoid design problem and solution stability is much better as compared to the Standard gravitational search algorithm and various other state-of-the-art techniques previously applied for solving this problem.

Levy Flight and Chaos Theory-Based Gravitational Search Algorithm for Global Optimization

“…To alleviate this problem, an improved version of GSA was developed to increase the exploitation capability of GSA. To test the efficiency of GSA, it was applied to Loney's solenoid design problem (Khan et al, 2020).…”

Performance of High Voltage Transmission Line Based on Thyristor-Control Series Compensator

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The gravitational search algorithm for incorporating TCSC devices into the system for optimum power flow

“…In the resolution of various optimization problems, the gravitational search algorithm (GSA) has been evaluated for high-quality performance. Therefore, GSA is used in many papers for solving various complex and nonconvex problems recently [18], [19]. GSA algorithm is categorized as a physics-based algorithm depending on the law of gravity and mass interactions.…”