Abstract: The Quadratic Knapsack Problem (QKP) deals with maximizing a quadratic objective function subject to given constraints on the capacity of the ...
Solution to QKP generalizes the problem of finding whether a graph contains a clique of given size. We propose in this paper a Novel Quantum Evolutionary ...
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) ...
Abstract: 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 some.
This paper presents novel Quantum-inspired Evolutionary Algorithms (QEAs) that integrate concepts from quantum computing for higher representational power and ...
An Angle-expressed Quantum Evolutionary Algorithm ... - IOPscience
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Abstract. The quadratic knapsack problem(QKP) is a typical combinatorial optimization problem. It is arisen in many optimization fields, but there exist no ...
Oct 22, 2024 · 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 present a branch and bound algorithm for solving separable convex quadratic knapsack problems with lower and upper bounds on the integer variables.