Diversity-preserving quantum particle swarm optimization for the multidimensional knapsack problem-Reference-Cited by-同舟云学术

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Diversity-preserving quantum particle swarm optimization for the multidimensional knapsack problem

Published:2020-07 Issue: Volume:149 Page:113310
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lai Xiangjing,Hao Jin-Kao^ORCID,Fu Zhang-Hua,Yue Dong

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Six Talent Peaks Project in Jiangsu Province

Shenzhen Science and Technology Innovation Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference46 articles.

1. A hybrid of nested partition, binary ant system, and linear programming for the multidimensional knapsack problem;Al-Shihabi;Computers & Operations Research,2010

2. Kernel search: A general heuristic for the multidimensional knapsack problem;Angelelli;Computers & Operations Research,2010

3. Memetic binary particle swarm optimization for discrete optimization problems;Beheshti;Information Sciences,2015

4. A multi-level search strategy for the 0–1 multidimensional knapsack problem;Boussier;Discrete Applied Mathematics,2010

5. The robust multiple-choice multidimensional knapsack problem;Caserta;Omega,2019

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