Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: Robust multiobjective optimization problems (RMOPs) widely exist in real-world applications, which introduce a variety of uncertainty in optimization models. While some evolutionary ...

Abstract: Surrogate-assisted evolutionary algorithms have received a surge of attentions for their promising ability of solving expensive optimization problems. Existing surrogate-assisted ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Learn more About two weeks ago, Advanced Micro Devices announced the acquisition of MEXT, a start-up that has built ...

Gurobean, companion to the "Burrito Optimization Game" with 85,000+ plays, introduces advanced concepts like nonlinearity and ...

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...

Cyrus Finance is a next-generation multi-platform DeFi ecosystem built on an advanced curve trading model, using AMM V3 ...

Job searching has never been more accessible—or more confusing. Platforms like LinkedIn, Indeed and employer career pages let ...

All-atom biomolecular foundation model uses co-folding as the entry point to a scalable drug discovery engine; the release marks a concrete step toward advancing open scientific AI for future ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

Crystal Carter and Jen Cornwell tackled AI search from opposite angles at SMX Advanced. Together, they reveal why most ...