An optimization framework for solving large scale multidemand multidimensional knapsack problem instances employing a novel core identification heuristic-Reference-Cited by-同舟云学术

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An optimization framework for solving large scale multidemand multidimensional knapsack problem instances employing a novel core identification heuristic

Published:2024-08 Issue: Volume: Page:
ISSN:0377-2217
Container-title:European Journal of Operational Research
language:en
Short-container-title:European Journal of Operational Research

Author:

Al-Shihabi Sameh^ORCID

Publisher

Elsevier BV

Reference33 articles.

1. A hybrid of max–min ant system and linear programming for the k-covering problem;Al-Shihabi;Computers & Operations Research,2016

2. A novel core-based optimization framework for binary integer programs-the multidemand multidimesional knapsack problem as a test problem;Al-Shihabi;Operations Research Perspectives,2021

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

4. Adaptive memory search for multidemand multidimensional knapsack problems;Arntzen;Computers & Operations Research,2006

5. An algorithm for large zero-one knapsack problems;Balas;Operations Research,1980

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