An ant colony optimization (ACO) algorithm solution to economic load dispatch (ELD) problem

Authors:
Vlachos Aristidis
Affiliations:
Department of Informatics, University of Piraeus, Piraeus, Greece
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

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Abstract

This paper presents the solution of the Economic Load Dispatch (ELD) problem using an Ant Colony Optimization (ACO) algorithm: the Ant System with elitist strategy (ASe). The idea of the elitist strategy in the context of the Ant System is to give extra emphasis to the best path found so far after every iteration. When the trail levels are updated, this path is treated as if a certain number of ants, namely the elitist ants, had chosen it. The ASe is applied to sample ELD problem composed of six generators. The results of the ASe are compared with those of the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Gradient-Based approach.