Quantum-Inspired Differential Evolution with Grey Wolf Optimizer for 0-1 Knapsack Problem

Quantum-Inspired Differential Evolution with Grey Wolf Optimizer for 0-1 Knapsack Problem

The knapsack problem is one of the most widely researched NP-complete combinatorial optimization problems and has numerous practical applications. This paper proposes a quantum-inspired differential evolution algorithm with grey wolf optimizer (QDGWO) to enhance the diversity and convergence perform...

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Bibliographic Details
Main Authors: Yule Wang, Wanliang Wang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Mathematics
Subjects:
quantum computing
differential evolution
grey wolf optimizer
evolutionary algorithm
0-1 knapsack problem
Online Access:https://www.mdpi.com/2227-7390/9/11/1233

Internet

https://www.mdpi.com/2227-7390/9/11/1233

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