The development of quantum processors for practical fluid flow problems is a promising yet distant goal. Recent advances in quantum linear solvers have highlighted their potential for classical fluid ...
Abstract: The semiconductor industry plays a vital role in modern technology, with semiconductor devices embedded in almost all electronic products. As these devices become increasingly complex, ...
Abstract: Fractional programming (FP) is a branch of mathematical optimization that deals with the optimization of ratios. It is an invaluable tool for signal processing and machine learning, because ...
This repository provides a solution to the standard Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). In a CVRPTW, we aim to optimize the routes of a fleet of vehicles serving customers ...
Problem solving is the process of identifying challenges, analysing their causes, and developing effective solutions. It involves critical thinking, creativity, and systematic approaches to overcome ...
Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...