A new collaborative approach to particle swarm optimization for global optimization

J.H Kim, T.T Ngo, Ali Sadollah

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محل خدمت:دانشگاه علم و فرهنگ

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عضو هیئت علمی تمام وقت , معاون
مقطع تحصیلی: دکتری
سال تولد: ۱۳۶۳
رزومه

My affiliation

Dr. Ali Sadollah received his Ph.D. in the Faculty of Engineering, majoring in Mechanical Engineering at the University of Malaya, Kuala Lumpur, Malaysia, in 2013. He has been a postdoctoral research fellow at prestigious universities such as Korea University and Nanyang Technological University. Afterward, he was a guest assistant professor at the Sharif University of Technology, Tehran, Iran. He is an assistant professor at the University of Science and Culture, Tehran, Iran. A recent Stanford University study and ESI indicator show he is among the top 1 and 2 percent of the world’s researchers. He is the inventor of two metaheuristic optimization methods: the water cycle algorithm and the neural network algorithm. His research interests include algorithm development, optimization, metaheuristics, applications of soft computing methods in engineering, computational solid mechanics, finite element method, and cold roll forming process. Dr. Sadollah has published 3 books, contributed scientifically to over 100 scientific research, and was invited to participate in numerous international and national events.

A new collaborative approach to particle swarm optimization for global optimization

نویسندگان	J.H Kim, T.T Ngo, Ali Sadollah
همایش	Proceedings of 5th International Conference on Soft Computing for Problem Solvin
تاریخ برگزاری همایش	۲۰۱۵
نوع ارائه	سخنرانی
سطح همایش	داخلی

A new collaborative approach to particle swarm optimization for global optimization

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