Application of PSO, Artificial Bee Colony and Bacterial Foraging Optimization algorithms to economic load dispatch: An analysis
Neural and Evolutionary Computing
2015-09-23 v1 Artificial Intelligence
Abstract
This paper illustrates successful implementation of three evolutionary algorithms, namely- Particle Swarm Optimization(PSO), Artificial Bee Colony (ABC) and Bacterial Foraging Optimization (BFO) algorithms to economic load dispatch problem (ELD). Power output of each generating unit and optimum fuel cost obtained using all three algorithms have been compared. The results obtained show that ABC and BFO algorithms converge to optimal fuel cost with reduced computational time when compared to PSO for the two example problems considered.
Keywords
Cite
@article{arxiv.1111.2988,
title = {Application of PSO, Artificial Bee Colony and Bacterial Foraging Optimization algorithms to economic load dispatch: An analysis},
author = {Anant Baijal and Vikram Singh Chauhan and T. Jayabarathi},
journal= {arXiv preprint arXiv:1111.2988},
year = {2015}
}