Faculty of Business Administration

Seminar Series No.4/1920
AIM

Bacteria-inspired Optimization Algorithms and Applications

Prof. Ben NIU
Zhujiang Scholar Professor and Head with Department of Management Science
Shenzhen University, China

Abstract

Nowadays, most swarm intelligent optimization algorithms are inspired by the behavior of animals. By simulating the foraging behavior of E. coli in human intestines, Bacterial Foraging Algorithm (BFO) was proposed. However, due to lacking of communication among individuals and adopting nested loop, original BFO has several defects, including high memory consumption and low efficiency. Therefore, two BFO variants, including Bacterial Colony Optimization (BCO) and Coevolutionary Structure-Redesigned-Based Bacterial Foraging Optimization (CSRBFO), were developed to address the problems above. To be more specific, BCO considers chemotaxis strategy combined with communication mechanism, while CSRBFO aims to fulfill tasks more effectively by using a single loop to replace the nested loop of BFO. In this talk, initially, original BFO is described reviewed and its two variants (BCO and CSRBFO) are highlighted respectively. Then, some effective strategies for other improved Bacteria-inspired Optimization algorithms are introduced in detail. Finally, some real-world applications and future work of Bacteria-inspired Optimization Algorithms are discussed.

Date: 19 November, 2019 (Tuesday)

Time: 10:30~12:00

Venue: Faculty of Business Administration, E22-G010

A Short Biography of Prof. Ben NIU

Prof. Ben Niu is a Zhujiang Scholar Professor and Head with Department of Management Science, Shenzhen University, China. Prof. Niu had experiences of visiting at University of Edinburgh in 2018, Arizona State University in 2016, Victoria University of Wellington in 2013, and The Hong Kong University in 2011. During 2013 to 2016, he had been working as a Postdoctoral Research Fellow at The Hong Kong Polytechnic University. In the recent 5 years, he was awarded several honors, including ‘ Hong Kong Scholar’ , ‘Zhujiang Scholar of Guangdong Province’, ’Thousand Hundred Ten Talents of Guangdong Province’, Top Youth Talent of Guangdong Province‘, ‘Overseas High-Caliber Personnel of Shenzhen’, and ‘High-Level Professional in Shenzhen’. As a principle investigator, he supervised 6 projects from National Natural Science Foundation of China, 2 projects from Chinese Postdoctoral Science Foundation. He has published more than 150 papers in the international Journals and international conferences, among which 40 are in refereed international journals, including IEEE/ACM Transactions, AMC, COR, NC, IJPR, IJIM, CIE et al. His main fields of research are Artificial Intelligent Optimization, Operation Research and their applications on Big Data Analysis, Financial Engineering, Business Intelligence, Supply Chain Optimization, and Resource Optimization.