bDepartment of Physical Medicine & Rehabilitation, University of Texas Southwestern Medical Center, Dallas, TX, USA cDepartment of Psychiatry, University of Texas Southwestern Medical Center, Dallas, ...

I’ve been keeping track of AI since the early 1970s when I read a book, “The Sciences of the Artificial” by Herbert A. Simon, ...

Abstract: Real-world production scenarios often involve multiobjective optimization problems with intricate constraints. Although there has been a growing interest in multiobjective problems with ...

These are exciting times for computing, where context aware reasoning and domain specific compiler optimizations could represent an entirely new level of computing.

NOTE The rtc-tools repository has been migrated from gitlab to here; see migration from gitlab. RTC-Tools is an open-source Python package for simulation and optimization of cyber-physical systems. It ...

This is the official implementation of our ICLR 2025 paper "UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP". Fig 1. The 3-step workflow of the UniCO ...

Optimization can progress from linear tradeoffs to network flow, constraints, and multi-variable optimization. Game theory can get quickly to Nash equilibria and strategy modeling. The key is to ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

Abstract: Graph-structured combinatorial problems in complex networks are prevalent in many domains, and are computationally demanding due to their complexity and non-linear nature. Traditional ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...