宋培城
My research focuses on AI, HCI, DBIS, SR.
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For two-stage large-scale stochastic optimization problems, use machine learning to enhance the search capabilities of evolutionary algorithms while serving as a surrogate model for the problem.
We have proposed a multi-party and multi-objective collaborative optimization problem, which is referred to as the multi-party multi-objective optimization problem. In this problem, not only do we need to achieve multiple objectives for each party, but also collaboratively fulfill multiple overall objectives.
We have achieved the conceptual visualization of the non-dominated solution set in the multi-objective optimization problem, rather than just presenting the numerical distribution that is incomprehensible to humans.