Volume 5, Issue 1 (1-2015)                   2015, 5(1): 67-77 | Back to browse issues page

XML Print


Abstract:   (18535 Views)
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.
Full-Text [PDF 208 kb]   (5275 Downloads)    
Type of Study: Research | Subject: Optimal design
Received: 2015/01/2 | Accepted: 2015/01/2 | Published: 2015/01/2

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.