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Congratulations to our PhD student Feng Yinglan for successfully passing her PhD oral defense

Dec 2023 

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Feng Yinglan's doctoral defense focused on the research topic "Designing Multiform Evolutionary Algorithms for Multiobjective Optimization." During her postgraduate studies, Feng Yinglan was devoted to investigating and designing efficient multiform evolutionary algorithms to address the challenges posed by complex multiobjective optimization problems involving large-scale decision variables, multi-level decision-makers with complex coupling, and high-dimensional combinatorial and discrete problems. Her innovative achievements include: (1) Proposing a multivariation multifactorial evolutionary algorithm for large-scale multiobjective optimization (MOEMT). To alleviate the curse of dimensionality in LSMOP, several auxiliary search spaces with lower dimensions are constructed in a multi-variation manner. (2) Proposing the MFO-based evolutionary search paradigm for bilevel multiobjective optimization (BLMFO). To cope with complex coupling issues of BLMOP, the exploration of the infeasible region and the simplification of the decision-making process are extended by decoupled objective functions. (3) Designing a novel MFO framework to address combinatorial multiobjective optimization problems in the case of high-dimensional FS with unbalanced data. For solving high-dimensional FS problems, the task-specific knowledge embedded in different problem formulations is fully used.

Feng Yinglan received the B.E. degree from the Department of Computer Science, Jinan University, Guangzhou, China, in 2017, and the M.S. degree from the School of Data and Computer Science, Sun Yat-Sen University, Guang Zhou, China, in 2019. Her research interests include intelligent computing, multiobjective optimization, multiform optimization, and evolutionary transfer optimization. She has published three papers in prestigious research journals as the first author, including IEEE Transactions on Evolutionary Computation (IF: 14.3) and IEEE Access (IF: 3.9). Additionally, Feng Yinglan has received two national invention patents and one national utility model patent.

Dr. Feng will join The Hong Kong Polytechnic University as a postdoctoral fellow, where she will continue her research in intelligent computing and evolutionary transfer optimization. Wishing her to have a fruitful and enriching postdoctoral journey in the future!

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