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Dr Miqing Li is an assistant professor at the University of Birmingham and a Turing Fellow of the Alan Turing Institute, UK. Miqing’s research revolves around multi-objective optimisation. In general, his research consists of two parts: 1) basic research, namely, developing effective evolutionary algorithms for general challenging optimisation problems such as those with many objectives, complex constraints, numerous local/global optima, uncertainty, and expensive to evaluate, and 2) applied research, namely, designing customised search algorithms for practical problems in other fields such as those in software engineering, high-performance computing, neural architecture search, disassembly automation, and supply chain.
|ASE 2022||The Weights can be Harmful: Pareto Search versus Weighted Search in Multi-Objective Search-Based Software Engineering|
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