Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...

Dynamic Programming (DP) is a powerful technique for solving complex problems by breaking them into smaller, overlapping subproblems and avoiding redundant calculations. It’s a must-know skill for ...

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: With the rapid evolution of electric systems, there has been a significant demand for energy Internet (EI) systems that allow sustainable and environmentally friendly energy management.

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 ...

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 ...

Dynamic programming is a powerful algorithmic technique used in computer science and mathematics to solve a wide range of complex problems efficiently. It is particularly valuable when dealing with ...

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 ...

The Canadian federal government recently announced a policy to ban straws, bags and several other single-use plastic items by the end of 2021. It is great to see Ottawa engaged in efforts to find ...

This paper presents a continuous method for solving binary quadratic programming problems. First, the original problem is converted into an equivalent continuous optimization problem by using NCP ...