A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem

Joint Authors

Alharbi, Saad
Venkat, Ibrahim

Source

Journal of Optimization

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-06-04

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Mathematics

Abstract EN

In the field of computing, combinatorics, and related areas, researchers have formulated several techniques for the Minimum Dominating Set of Queens Problem (MDSQP) pertaining to the typical chessboard based puzzles.

However, literature shows that limited research has been carried out to solve the MDSQP using bioinspired algorithms.

To fill this gap, this paper proposes a simple and effective solution based on genetic algorithms to solve this classical problem.

We report results which demonstrate that near optimal solutions have been determined by the GA for different board sizes ranging from 8 × 8 to 11 × 11.

American Psychological Association (APA)

Alharbi, Saad& Venkat, Ibrahim. 2017. A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem. Journal of Optimization،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1185927

Modern Language Association (MLA)

Alharbi, Saad& Venkat, Ibrahim. A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem. Journal of Optimization No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1185927

American Medical Association (AMA)

Alharbi, Saad& Venkat, Ibrahim. A Genetic Algorithm Based Approach for Solving the Minimum Dominating Set of Queens Problem. Journal of Optimization. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1185927

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1185927