Handbook of Research on Advancements of Swarm Intelligence Algorithms for Solving Real-world Problems

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Über die Autorinnen und Autoren: Shi Cheng received the Bachelor's degree in Mechanical and Electrical Engineering from Xiamen University, Xiamen, the Master's degree in Software Engineering from Beihang University (BUAA), Beijing, China, the Ph.D. degree in Electrical Engineering and Electronics from Liverpool University, Liverpool, United Kingdom, the Ph.D. degree in Electrical and Electronic Engineering from Xi’an Jiaotong-Liverpool University, Suzhou, China in 2005, 2008, and 2013, respectively. He is currently a lecturer with School of Computer Science, Shaanxi Normal University, Xi’an, China. His current research interests include swarm intelligence, multiobjective optimization, and data mining techniques and their applications.

Yuhui Shi received the PhD degree in electronic engineering from Southeast University, Nanjing, China, in 1992. He is a chair professor in the Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China. Before joining Southern University of Science and Technology, he was with Electronic Data Systems Corporation, Indianapolis, IN. His main research interests include the areas of computational intelligence techniques (including swarm intelligence) and their applications. Dr. Shi is the Editor-in-Chief of the International Journal of Swarm Intelligence Research. (Kuruge Abeyrathna - Contributing Author) Darshana is a PhD research fellow at the University of Agder. He completed his BSc in Mechatronics Engineering at AIT university, Thailand in 2015. Then he directly joined to the Big Data research group at Thammasat University, Thailand for his MSc studies and graduated in 2017. His research interests are in Artificial Neural Networks, Data Mining, Optimization, and Operations Research. Currently, at CAIR, he is working on a project which develops a global grid that facilitates real-time compilation, management, and analysis of spatio-temporal data.