Abstract: Decomposition has been the mainstream approach in the classic mathematical programming for multi-objective optimization and multi-criterion decision-making. However, it was not properly ...
Most teams are not struggling with AI because the models are insufficient. The models are remarkable. They are struggling because they handed a remarkable model a system that was never designed to be ...
From the phase of "making AI do the work" to the phase of "multiple AIs collaborating to complete tasks"—the concept of multi-agents has rapidly become a reality for engineers. However, you often hit ...
Abstract: To solve the constrained many-objective optimization problems (CMaOPs), the tradeoff among convergence, diversity, and feasibility is a crucial and challenging task. This article proposes a ...
“If you are a mathematician,” one of the world’s leading mathematicians recently wrote, “you may want to make sure you are sitting down before reading further.” And you’ll definitely need to sit down ...
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