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 (DP) is a powerful optimization technique used in computer science and mathematics to solve problems that can be broken down into smaller overlapping subproblems. It is ...

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 ...

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 ...

Life presents us with problems of varying complexity. Yet, complexity is not accounted for in theories of human decision-making. Here we study instances of the knapsack problem, a discrete ...

ABSTRACT: Under study is the problem of optimum allocation of a resource. The following is proposed: the algorithm of dynamic programming in which on each step we only use the set of Pareto-optimal ...