University of Mohaghegh Ardabili Journal of Operation and Automation in Power Engineering 2322-4576 7 2 2019 10 01 Multi-objective Grasshopper Optimization Algorithm based Reconfiguration of Distribution Networks بازآرایی شبکه های توزیع مبتنی بر الگوریتم بهینه سازی ملخ چندهدفه 148 156 785 10.22098/joape.2019.5841.1437 EN M.A. Tavakoli Ghazi Jahani Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran. P. Nazarian Department of Electrical Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran. A. Safari Department of Electrical Engineering, Azarbaijan Shahid Madani University, Tabriz, Iran M.R. Haghifam Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran. Journal Article 2019 03 06 Network reconfiguration is a nonlinear optimization procedure which calculates a radial structure to optimize the power losses and improve the network reliability index while meeting practical constraints. In this paper, a multi-objective framework is proposed for optimal network reconfiguration with the objective functions of minimization of power losses and improvement of reliability index. The optimization problem is solved by multi-objective grasshopper optimization algorithm (MOGOA) which is one of the most modern heuristic optimization tools. To solve an optimization problem, the suggested algorithm mathematically mimics and formulates the behavior of grasshopper swarms. The modifying comfort zone coefficient needs grasshoppers to balance exploration and exploitation, which helps the MOGOA to find an exact approximation of global optimization and not trapped in local optima. The efficiency of the suggested technique is approved regarding the 33-bus and 69-bus test systems. Optimization results expressed that the suggested technique not only presents the intensified exploration ability but also has a better solution compared with previous algorithms. https://joape.uma.ac.ir/article_785_448c4a5e8e4557f7608dee267f4bc684.pdf