Optimizing the Electrical Wire Routing through Multiple Points using Multi-Objective Ant Colony Algorithms for Electrical Wire Routing (MOACSEWR
| dc.contributor.author | Pemarathne, W.P.J. | |
| dc.contributor.author | Fernando, T.G.I. | |
| dc.date.accessioned | 2022-09-09T09:11:22Z | |
| dc.date.available | 2022-09-09T09:11:22Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Ant colony optimization algoritlun is a remarkable nature-inspired algoritlun which produces outstanding optimization solutions. During the recent years these algorithms have been appliedto various difficult combinatorial optimization problemsand proved successes. In this paper, we present a novel approach of ant colony optimization algorithm to optimize the electricalwire routesthroughmultiplepoints.In this study,MultiObjective Ant Colony Algorithms for Electrical Wire Routing (MOACS-EWR) is used to optimize multiple objectives: length of the path and the number of bends in the path. The study was doneusingtwo approaches withmodifications to localpheromone updating rule. The results of the study shown that the proposed modifications are performed well in optimizing electrical wire routes through multiplepoints. | en_US |
| dc.identifier.citation | Pemarathne, W.P.J. & Fernando, T.G.I. (2019). Optimizing the Electrical Wire Routing through Multiple Points using Multi-Objective Ant Colony Algorithms for Electrical Wire Routing (MOACSEWR). 2019 IEEE 14th International Conference on Industrial and Information Systems (ICIIS), 18-20 Dec., Peradeniya, Sri Lanka | en_US |
| dc.identifier.uri | http://dr.lib.sjp.ac.lk/handle/123456789/12102 | |
| dc.language.iso | en | en_US |
| dc.subject | Ant colony optimization, electric cable routing, multi-point covering, multi-objective problem | en_US |
| dc.title | Optimizing the Electrical Wire Routing through Multiple Points using Multi-Objective Ant Colony Algorithms for Electrical Wire Routing (MOACSEWR | en_US |
| dc.type | Article | en_US |