Abstract: Solving constrained multiobjective optimization problems (CMOPs) is a highly challenging work. Numerous complex nonlinear constraints significantly add to the complexity of CMOPs, resulting ...
Abstract: The coal mine integrated energy system dispatch problem (CMIES-DP) is a constrained multiobjective optimization problem (CMOP) with the characteristics of multiple objectives, ...
Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny ...
OpenAI said it paused internal access to the unreleased model that disproved a famous 80-year-old math conjecture after the ...
When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some ...
Summary: A new study utilizes Koopman operator learning to prove that certain complex, chaotic systems have fundamental ...
We see computers and imagine faster calculators. Today, many organizations see AI and imagine better automation. I think we ...
Quantum computing gas turbine simulation moved forward July 14 as Quantinuum, Rolls-Royce, Riverlane, and EPCC signed a multi ...
Salience and (Non-)Buyer's Remorse: Optimal Nonlinear Pricing with Cognitively Constrained Consumers
Nonlinear pricing theory predicts that firms can extract surplus by inducing heterogeneous consumers to self-sort across price contract offers that are ex-post optimal for them. We study subscription ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results