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ABSTRACT
This paper presents a new improved version of grasshopper optimization algorithm (GOA) to find the optimal solution for the optimal chiller loading (OCL) problem subject to obtain the minimum power consumption. To improve the convergence speed of the GOA algorithm, chaos theory is employed. To validate the proposed method, it is compared with three different OCL case studies and the results are compared with GA, WCO, PSO, and original GOA to demonstrate the capability of the presented system. Simulation results showed that the presented chaos GOA gives better (or equal) results compared with other studied methods.
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Xu Wenhan
Xu Wenhan received his Phd degree in Management from Zhejiang University of Industry and Commerce, China. He is currently a lecturer in Nanjing Audit University. His research interest is mainly in the area of textual information analysis and behavioral finance. He has published several research papers in scholarly journals in the above research areas and has participated in several conferences.
Wan Yuanxing
Wan Yuanxing received his Phd degree in Management from Zhejiang University of Industry and Commerce, China. He is currently a lecturer in Zhejiang Gongshang University. His research interest is mainly in the area of corporate governance and corporate innovation study. He has published several research papers in scholarly journals in the above research areas and has participated in several conferences.
Qi Di
Qi Di is currently a Phd student in University of International Business and Economics. Her research interest is mainly in the area of textual information analysis and behavioral finance. She has published several research papers in scholarly journals in the above research areas and has participated in several conferences.
Babak Daneshvar Rouyendegh
Babak Daneshvar Rouyendegh took his B.Sc degree from the Department of Applied Mathematics in 1996. Then, he attended the M.Sc program in the Industrial Engineering Department at Gazi University, Turkey. He graduated from Gazi University in 2004. Afterward, he attended the Ph.D. program in Industrial Engineering at Gazi University. Erdebilli was awarded a grant by the Republic of Turkey Ministry of Education and he was a Research Fellow at the Toronto University, Canada (2011-2012) and Post Doc Auburn University, USA (2015-2016). He is serving as the Editor of the Journal of Turkish Operations Management. His main teaching and research interests include performance measurement, Fuzzy set, linear programming, and Multi-Criteria Decision-Making. His work published in high-impact journals such as Annals of Operations Research, Information Systems Journal, TPRS, International Journal of Production Research, Journal of Testing and Evaluation, Proceedings of The Institution of Mechanical Engineers Part O-JOURNAL of Risk and Reliability, Human Factors and Ergonomics in Manufacturing & Service Industries, International Journal of Management Science and Engineering Management.