Apr 6, 2012 · The Knapsack Problem assigns weights and values to each of a given set of objects, with the objective of choosing a subset no larger than ...

We propose in this paper a Novel Quantum Evolutionary Algorithm (NQEA) for QKPs. These algorithms are general enough and can be used for similar subsection of ...

Oct 22, 2024 · This paper presents novel Quantum-inspired Evolutionary Algorithms (QEAs) that integrate concepts from quantum computing for higher ...

By C. Patvardhan, V. Prem Prakash and A. Srivastav; Abstract: The Knapsack Problem assigns weights and values to each of a given set of objects, ...

Abstract—The Quadratic Knapsack Problem (QKP) deals with maximizing a quadratic objective function subject to given constraints on the capacity of the ...

This article describes how the 0/1 Multiple Knapsack Problem (MKP), a generalization of popular 0/1 Knapsack Problem, is NP-hard and harder than simple ...

The Quadratic Knapsack Problem (QKP) deals with maximizing a quadratic objective function subject to given constraints on the capacity of the Knapsack.

A Novel Quantum Evolutionary Algorithm (NQEA) for QKP, which generalizes the problem of finding whether a graph contains a clique of given size and is ...

QKP has been studied intensively due to its simple structure yet challenging difficulty and numerous applications. Quantum Inspired Evolutionary Algorithm (QIEA) ...

The Quadratic Kapsack Problem (QKP) extends KP by associating values with not just individual objects but also with pairs of objects. The problem is known to be ...