New Quantum-as-a-Service platform helps entrepreneurs analyze complex tax, investment, and financial decisions faster ...

Electrical distribution systems are characterized by dynamic operating conditions and complex network topologies, which pose significant challenges for the effective deployment of protection schemes.

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

A joint research team has reported for the first time that the resistive switching behavior of ion-motion-mediated volatile memristors, which are emerging as promising next-generation semiconductor ...

A joint research team led by Professor Jung Ho Yoon from the School of Advanced Materials Science and Engineering at Sungkyunkwan University (President Yoo Ji-Beom) has reported for the first time ...

Adaptive Large Neighborhood Search (ALNS) remains a dominant metaheuristic for vehicle routing, yet the design of its destroy and repair operators relies heavily on manual engineering. Although Neural ...

This repository contains code relating to the paper "A Combinatorial Branch-and-Bound Algorithm for the Capacitated Facility Location Problem under Strict Customer Preferences" by Christina Büsing, ...

Abstract: Knowledge transfer-based evolutionary optimization has garnered significant attention, such as in multitask evolutionary optimization (MTEO), which aims to solve complex problems by ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by researchers at Microsoft Research, Barclays and University of Cambridge.

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...