Tech Xplore

Spintronic hardware unlocks faster, lower-energy optimization, outpacing tested quantum annealers

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

Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
IEEE

A Surrogate-Assisted Evolutionary Framework for Expensive Multitask Optimization Problems

Abstract: This article proposes a surrogate-assisted evolutionary framework (called SELF) to solve expensive multitask optimization problems (ExMTOPs). SELF consists of two main phases: 1) global ...
Aalto University

Doctoral Researcher in AI and Quantum-Inspired Optimization for Sustainable Energy Systems

Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
IEEE

Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework

Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...
SciTech Daily

Physicists Solve a “Quantum-Only” Problem Using an Ordinary Laptop

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 ...