Combinatorial Optimization, Evolutionary Computation, Multi-objective Optimization, Industrial Scheduling
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Primarily engaged in research on combinatorial optimization, evolutionary computation, and intelligent decision-making, with a focus on multi-objective optimization theory and methods, design of intelligent optimization algorithms, and their applications in industrial scheduling. The research content covers production scheduling, collaborative optimization of logistics and transportation, optimization of energy-aware manufacturing systems, and AI-driven solutions to complex decision-making problems.