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.
