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(Ser. No. BFEMU-2008-1046) Received: (31 August, 2020) Revised: (26 October, 2020) Accepted: (21 November, 2020) Esraa M.Abd Elsadek is a Teaching Assistant in Dept. of Mechatronics, Alexandria Higher Institute of Engineering & Technology, (AIET), she received her B.Sc. in 2014, (AIET), and her M.Sc in 2020, Alexandria University, Egypt, her research interests in control, power, Energy saving, Electro-pneumatic system. Engesraa560@gmail.com. Hamdy Ahmed Abd El-Khalek Ashour. Full Professor since 2009 in Arab Academy for Science & Technology, Department of Electrical and Control Engineering, Alexandria, Egypt. B.Sc. from Alexandria University, Egypt, 1992. M.Sc. from Alexandria University, Egypt, 1996. Ph.D. from Heriot-Watt University, Edinburgh, United Kingdom, 1999. Main areas of interest are Electrical Machines, Variable Speed Drives, Power Electronics Applications, Industrial Automation Systems, Renewable Energy and Energy Management Systems. Hamdy135@gmail.com. Ragi A. Hamdy (Senior Member, IEEE) is Professor in the Department of Electrical Engineering, Faculty of Engineering, Alexandria University, he received the B.Sc. and M.Sc. degrees from Alexandria University, Alexandria, Egypt, in 1991 and 1994, respectively, and the Ph.D. degree from Heriot-Watt University, U.K., in 1999, his current research interests include electric machines, electric drives, and power electronics. rhamy@alexu.edu.eg. * Corresponding author: Mohamed Moustafa M. Sedky is a lecturer in the Department of Electrical Engineering, Faculty of Engineering, Alexandria University, he received the B.Sc. and M.Sc. degrees from Alexandria University, Alexandria, Egypt, in 1994 and 1999, respectively, and the Ph.D. degree from Heriot-Watt University, U.K in 2004, , his current research interests include electric machines, electric drives, power, and power electronics. Mohamed.sedky@alexu.edu.eg. An Approach of Load Management and Cost Saving for Industrial Production Line Using Particle Swarm Optimization

An Approach of Load Management and Cost Saving for Industrial Production Line Using Particle Swarm Optimization (Dept.E)