METAHEURISTIC ALGORITHMS FOR MINIMUM CROSSING NUMBER PROBLEM

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KAVEH A.; ILCHI GHAZAAN M.

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Journal Paper

Paper Information

Journal: International Journal of Optimization in Civil Engineering Year:2015 | Volume:5 | Issue:1 Page(s): 67-77

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Information Journal Paper

Title

METAHEURISTIC ALGORITHMS FOR MINIMUM CROSSING NUMBER PROBLEM

Author(s)

KAVEH A. | ILCHI GHAZAAN M. | Issue Writer Certificate

Keywords

GRAPH LAYOUT

CROSSING NUMBER

PARTICLE SWARM OPTIMIZATION

IMPROVED RAY OPTIMIZATION

COLLIDING BODIES OPTIMIZATION

ENHANCED COLLIDING BODIES OPTIMIZATION

Abstract

This paper presents the application of metaheuristic methods to the minimum CROSSING NUMBER problem for the first time. These algorithms including PARTICLE SWARM OPTIMIZATION, IMPROVED RAY OPTIMIZATION, COLLIDING BODIES OPTIMIZATION and enhanced COLLIDING BODIES OPTIMIZATION. For each method, a pseudo code is provided. The CROSSING NUMBER problem is NP-hard and has important applications in engineering. The proposed algorithms are tested on six complete graphs and eight complete bipartite graphs and their results are compared with some existing methods.

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APA: Copy

KAVEH, A., & ILCHI GHAZAAN, M.. (2015). METAHEURISTIC ALGORITHMS FOR MINIMUM CROSSING NUMBER PROBLEM. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 5(1), 67-77. SID. https://sid.ir/paper/329400/en

Vancouver: Copy

KAVEH A., ILCHI GHAZAAN M.. METAHEURISTIC ALGORITHMS FOR MINIMUM CROSSING NUMBER PROBLEM. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING[Internet]. 2015;5(1):67-77. Available from: https://sid.ir/paper/329400/en

IEEE: Copy

A. KAVEH, and M. ILCHI GHAZAAN, “METAHEURISTIC ALGORITHMS FOR MINIMUM CROSSING NUMBER PROBLEM,” INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, vol. 5, no. 1, pp. 67–77, 2015, [Online]. Available: https://sid.ir/paper/329400/en

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