國立臺北大學統計學系

專題演講

 

講題： Nature-inspired Metaheuristics as a General-Purpose Optimization Tool in statistical Research

主講人：Professor Weng Kee Wong (Department of Biostatistics, Fielding School of Public Health, University of California at Los Angeles)

時間：114年12月10日 (星期三，13：10~15：00)

地點：三峽校區商學院3F13教室

Abstract

Nature-metaheuristics have been widely used in engineering and computer science to address various types of optimization problems for decades and are now increasingly used across disciplines. They are increasingly popular in industry and academia for tackling all kinds of complex and high-dimensional optimization problems. Interestingly, metaheuristics seems to be still relatively underused in the statistical research community. I present an overview of nature-inspired metaheuristics and some of their applications in statistics. The main appealing features of these algorithms are their speed, flexibility, availability of codes in different platforms, and ease of implementation and usage. Above all, they are virtually assumptions free, which allows us to apply them to solve a huge range of high-dimensional optimization tasks. I will enumerate the advantages of nature-inspired metaheuristic algorithms over existing optimization algorithms and illustrate their diverse applications in biostatistics, and beyond. In particular, I will show how nature-inspired algorithms can find more flexible and computationally challenging designs for early-phase clinical trials. Keywords: Design Efficiency, Early Phase Trials, Optimal Experiment Designs, Particle Swarm Optimization.

Bio of Wong Bio

Professor Wong is a Professor at UCLA since 1990 and over the years, he has done collaborative work in dentistry, environment health science, rheumatology, and various domains in oncology, including in the design and analysis of cancer control and prevention trials for controlling Hepatitis B among Asians, colorectal cancer for Hispanics, and fighting obesity and promotion of minority health at workplace. His main methodology research area is in constructing model-based optimal experimental designs for biostatistical applications. His recent interest is in the applications of nature-inspired metaheuristics to tackle challenging problems in designs for toxicology and other areas of statistics. He has delivered more than 230 presentations globally, including recent short courses at Seoul National University, UCLA's Pediatric Dentistry Program, and at the Toxicology Center in TU Dortmund University in Germany. Professor Wong has received several R01 grant awards from NIH, NSF and private foundations as a principal investigator. He is fellow of the American Statistical Association, the Institute of Mathematical Statistics, the American Association for the Advancement of Science, an elected member of the International Statistical Institute and a full member of the Sigma Xi - The Scientific Research Honor Society. He currently holds a 3-year Yushan Scholarship Award from the Ministry of Education in Taiwan.

 

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國立臺北大學統計學系  敬邀

114.12.03

附件：演講摘要