NDLI: A novel quantum-inspired pseudorandom proportional evolutionary algorithm for the multidimensional knapsack problem

Content Provider	ACM Digital Library
Author	Wang, Ling Wang, Xiuting Fei, Minrui
Abstract	This paper proposes a novel quantum-inspired pseudorandom proportional evolutionary algorithm (QPPEA), whose core is that the pseudorandom proportional operation is introduced in the update strategy. As the traditional quantum evolutionary algorithm (QEA) generates the binary solution completely depending on the probability and the amplitude of rotation angel is small, the efficiency of QEA is low. To make up for it, pseudorandom proportional operation inspired by ant colony algorithm is introduced in QPPEA. Further more, for the sake of the introduction of pseudorandom proportional operation, quantum mutation operator based on quantum NOT gate is used to keep the diversity of population. The simulation results on a class of the multidimensional knapsack problems (MKP) demonstrate that QPPEA can effectively enhance the searching efficiency and improve the optimization performance.
Starting Page	545
Ending Page	552
Page Count	8
File Format	PDF
ISBN	9781605583266
DOI	10.1145/1543834.1543908
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Multidimensional knapsack problem Pseudo-random proportional operation Quantum-inspired evolutionary algorithm
Content Type	Text
Resource Type	Article

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A novel quantum-inspired pseudorandom proportional evolutionary algorithm for the multidimensional knapsack problem