The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

In recent years, the prospect of real-world quantum computing has raised hopes for solving hard combinatorial optimisation problems, leading to tremendous theoretical work on developing and analysing ...

Abstract: In this paper, we present some initial results of several meta-heuristic optimization algorithms, namely, genetic algorithms, simulated annealing, branch and bound, dynamic programming, ...

This repository contains a set of 1787 feasible instances for the 0-1 Knapsack Problem with Group Fairness. The instances are in folder instances and the generator used to create them is in folder ...

Embarking on a journey to master Data Structures and Algorithms (DSA) is a crucial step for any aspiring software developer. This guide outlines a 100-day plan to help you build a strong foundation in ...

In the competitive world of tech job interviews, the importance of Data Structures and Algorithms (DSA) cannot be overstated. Whether you're vying for a position at a startup or a tech giant like ...

Abstract: Knapsack problem is a classical optimization problem in computer science and programming. Knapsack problem main objective is to solve how much the maximum profit can be carried with the ...

We review encoding and hardware-independent formulations of optimization problems for quantum computing. Using this generalized approach, an extensive library of optimization problems from the ...

Yash is an aspiring computer science student who loves to build things and write about all things tech. In his free time, he likes to play Squash, read a copy of the latest Murakami, and hunt dragons ...

Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent ...