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Main Authors: Moeini, Mahdi, Schermer, Daniel, Wendt, Oliver
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2405.13450
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author Moeini, Mahdi
Schermer, Daniel
Wendt, Oliver
author_facet Moeini, Mahdi
Schermer, Daniel
Wendt, Oliver
contents In operations research, the Knapsack Problem (KP) is one of the classical optimization problems that has been widely studied. The KP has several variants and, in this paper, we address the binary KP, where for a given knapsack (with limited capacity) as well as a number of items, each of them has its own weight (volume or cost) and value, the objective consists in finding a selection of items such that the total value of the selected items is maximized and the capacity limit of the knapsack is respected. In this paper, in memorial of Prof. Dr. Heiner M{ü}ller-Merbach, a former president of IFORS, we address the binary KP and revisit a classical algorithm, named cascading-tree branch-and-bound algorithm, that was originally introduced by him in 1978. However, the algorithm is surprisingly absent from the scientific literature because the paper was published in a German journal. We carried out computational experiments in order to compare the algorithm versus some classic methods. The numerical results show the effectiveness of the interesting idea used in the cascading-tree algorithm.
format Preprint
id arxiv_https___arxiv_org_abs_2405_13450
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Cascading-Tree Algorithm for the 0-1 Knapsack Problem (In Memory of Heiner M{ü}ller-Merbach, a Former President of IFORS)
Moeini, Mahdi
Schermer, Daniel
Wendt, Oliver
Data Structures and Algorithms
Optimization and Control
In operations research, the Knapsack Problem (KP) is one of the classical optimization problems that has been widely studied. The KP has several variants and, in this paper, we address the binary KP, where for a given knapsack (with limited capacity) as well as a number of items, each of them has its own weight (volume or cost) and value, the objective consists in finding a selection of items such that the total value of the selected items is maximized and the capacity limit of the knapsack is respected. In this paper, in memorial of Prof. Dr. Heiner M{ü}ller-Merbach, a former president of IFORS, we address the binary KP and revisit a classical algorithm, named cascading-tree branch-and-bound algorithm, that was originally introduced by him in 1978. However, the algorithm is surprisingly absent from the scientific literature because the paper was published in a German journal. We carried out computational experiments in order to compare the algorithm versus some classic methods. The numerical results show the effectiveness of the interesting idea used in the cascading-tree algorithm.
title Cascading-Tree Algorithm for the 0-1 Knapsack Problem (In Memory of Heiner M{ü}ller-Merbach, a Former President of IFORS)
topic Data Structures and Algorithms
Optimization and Control
url https://arxiv.org/abs/2405.13450