A genetic algorithm for maximum-weighted tree matching problem

Date

2010-09-01

Author

Gulek, Mehmet
Toroslu, İsmail Hakkı

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In hierarchal organizations, for assigning tasks to the divisions of the organization some constraints must be satisfied. This article investigates one such problem in which there are k different tasks to be accomplished and each division's performance on each task may be different and represented by a scalar value. In this article we formally introduce this real life decision problem, named as Maximum-Weighted Tree Matching Problem, and propose a genetic algorithm solution to it, and give some experimental results. (C) 2009 Elsevier B. V. All rights reserved.

Subject Keywords

Software

URI

https://hdl.handle.net/11511/49093

Journal

APPLIED SOFT COMPUTING

DOI

https://doi.org/10.1016/j.asoc.2009.09.013

Collections

Department of Computer Engineering, Article

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Citation Formats

M. Gulek and İ. H. Toroslu, “A genetic algorithm for maximum-weighted tree matching problem,” APPLIED SOFT COMPUTING, pp. 1127–1131, 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49093.