Abstract: This paper proposes a modified iterated greedy algorithm for solving an NP-hard knapsack problem known as the knapsack problem with setup. In contrast to the classical 0-1 knapsack problem, ...

mlrose-ky is a Python package for applying some of the most common randomized optimization and search algorithms to a range of different optimization problems, over both discrete- and ...

The Simulated Bifurcation (SB) algorithm is a fast and highly parallelizable state-of-the-art algorithm for quadratic combinatorial optimization inspired by quantum physics and spins dynamics. It ...

A critical computational domain for hardware accelerators is the area of solving combinatorial optimization problems (COPs) that are NP-complete or NP-hard—e.g., the traveling salesman, satisfiability ...

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 ...

The Quantum Alternating Operator Ansatz (QAOA) is a hybrid quantum-classical algorithm for sampling combinatorial optimization problems 1,2,3, the parameterized quantum component of which is executed ...

An algorithm is a step-by-step procedure or formula for solving a problem. In the context of computer science, it is a series of instructions that are executed to accomplish a specific task. These ...

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 ...

The advancements of mobile devices, public networks and the Internet of creature huge amounts of complex data, both construct & unstructured are being captured in trust to allow organizations to ...

1 Department of Mathematical Sciences, United States Military Academy, West Point, USA. 2 Industrial and Manufacturing Systems Engineering Department, Kansas State University, Manhattan, USA.