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.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.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.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