By registering the LongCat-2.0 repository under the open-source MIT License, Meituan positions the architecture with maximum ...

Abstract: Learning to optimize and automated algorithm design are attracting increasing attention, but it is still in its infancy in constrained multiobjective optimization evolutionary algorithms ...

Over the past decade, Professor L. Mahadevan's Soft Math Lab at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) has helped establish how the ancient Japanese paper arts ...

Awards recognize foundational research that helped shape mixed-integer and nonlinear optimization—and reflect the company’s ...

Awards recognize foundational research that helped shape the fields of mixed-integer and nonlinear optimization-and reflect the company's deep scientific roots. Gurobi Optimization, LLC, the leader ...

Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

Abstract: In multimodal multiobjective optimization problems (MMOPs), multiple solutions on different Pareto optimal solution sets (PSs) are mapped to the same point on the Pareto front (PF).

If it feels like social platforms suddenly “get” you more than they used to, you’re not imagining it! In 2026, feeds aren’t only reacting to what you click anymore. They’re predicting what you ...

Engineering design today involves navigating vast design spaces filled with competing requirements, hidden constraints, and nonlinear behaviours. From structural optimization to aerodynamic shaping to ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...

This study addresses the integration of distributed generations (DG) and network reconfiguration in distribution networks, that has not been thoroughly investigated in prior research. The importance ...