Problem Instances for the Generalized Assignment Problem (GAP) with Resource-Independent Task Profits and Identical Resource Capacity

Published: 28 April 2021| Version 1 | DOI: 10.17632/njyxh337cc.1
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Description

This dataset includes the problem instances generated for the Generalized Assignment Problem (GAP) with resource-independent task profits and identical resource capacity. We have set the four problem features - the number of tasks, the number of resources, the homogeneity of resources, and the relative capacity ratio of resources to total demands for tasks - with different levels for the features, resulting in 54 classes of the problem instances. For each class, 20 instances are generated, thus, a total of 1080 instances is included in the dataset. The main aim for this dataset creation was to test the performance of a solution algorithm to the target optimization problem and to characterize the performance of the algorithm as a function of the problem feature values. The findings along with the process could help a solution algorithm developer to understand the target optimization problem and thus design a solution algorithm with acceptable performance.

Files

Steps to reproduce

Please refer to "MATADATA.txt" inside of the zip file for the structure and contents of the dataset.

Institutions

Aalborg Universitet

Categories

Mathematics

Licence