Engineering

Volume 5, Issue 1 (January 2013)

ISSN Print: 1947-3931   ISSN Online: 1947-394X

Google-based Impact Factor: 0.66  Citations  

Differential Evolution Immunized Ant Colony Optimization Technique in Solving Economic Load Dispatch Problem

HTML  Download Download as PDF (Size: 126KB)  PP. 157-162  
DOI: 10.4236/eng.2013.51B029    6,028 Downloads   8,137 Views  Citations

ABSTRACT

Since the introduction of Ant Colony Optimization (ACO) technique in 1992, the algorithm starts to gain popularity due to its attractive features. However, several shortcomings such as slow convergence and stagnation motivate many researchers to stop further implementation of ACO. Therefore, in order to overcome these drawbacks, ACO is proposed to be combined with Differential Evolution (DE) and cloning process. This paper presents Differential Evolution Immunized Ant Colony Optimization (DEIANT) technique in solving economic load dispatch problem. The combination creates a new algorithm that will be termed as Differential Evolution Immunized Ant Colony Optimization (DEIANT). DEIANT was utilized to optimize economic load dispatch problem. A comparison was made between DEIANT and classical ACO to evaluate the performance of the new algorithm. In realizing the effectiveness of the proposed technique, IEEE 57-Bus Reliable Test System (RTS) has been used as the test specimen. Results obtained from the study revealed that the proposed DEIANT has superior computation time.

Share and Cite:

Rahmat, N. and Musirin, I. (2013) Differential Evolution Immunized Ant Colony Optimization Technique in Solving Economic Load Dispatch Problem. Engineering, 5, 157-162. doi: 10.4236/eng.2013.51B029.

Cited by

[1] Applications of Differential Evolution in Electric Power Systems
Differential Evolution: From Theory to Practice, 2022
[2] Optimal power scheduling strategy in power systems using swarm optimization technique
2019
[3] Review on Evolutionary Computing Techniques in Power System for Economic Load Dispatch
IOSR Journal of Engineering, 2018
[4] Application of differential evolution algorithm in static and dynamic economic or emission dispatch problem: A review
Renewable and Sustainable Energy Reviews, 2017
[5] Survey Paper on Economic Dispatch using Neural Networks, Fuzzy Logic and Ant Colony Optimization
2017
[6] Study of Economic Load Dispatch by Various Hybrid Optimization Techniques
Hybrid Soft Computing Approaches, 2016
[7] Hybrid of Lamda and Bee Colony Optimization for Solving Economic Dispatch
2016
[8] Parameter control and hybridization techniques in differential evolution: a survey
Artificial Intelligence Review, 2015

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.