Effect of ant parameters on DEACO in economic load dispatch problem

Nur Azzammudin Rahmat, I. Musirin, Z. Othman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A distinctive optimization technique known as Ant Colony Optimization (ACO) has gained huge popularity in these recent years. This algorithm has turned into a candidate approach to many optimization problems. Unfortunately, this attractive algorithm suffers several drawbacks, including stagnation and slow convergence toward optimal solution. Thus, a new algorithm, termed as Differential Evolution Ant Colony Optimization (DEACO) has been modeled to compensate the drawbacks. The algorithm was utilized to solve the economic load dispatch problem in order to verify its performance. In this study, several DEACO parameters, including the number of ants and nodes were manipulated to investigate the behavior of the brand-new algorithm. Comparative studies between DEACO and conventional ACO suggested that the new algorithm had successfully overcome the weaknesses of classical ACO.

Original languageEnglish
Title of host publicationPECon 2012 - 2012 IEEE International Conference on Power and Energy
Pages168-171
Number of pages4
DOIs
Publication statusPublished - 01 Dec 2012
Event2012 IEEE International Conference on Power and Energy, PECon 2012 - Kota Kinabalu, Malaysia
Duration: 02 Dec 201205 Dec 2012

Publication series

NamePECon 2012 - 2012 IEEE International Conference on Power and Energy

Other

Other2012 IEEE International Conference on Power and Energy, PECon 2012
CountryMalaysia
CityKota Kinabalu
Period02/12/1205/12/12

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All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Fuel Technology

Cite this

Rahmat, N. A., Musirin, I., & Othman, Z. (2012). Effect of ant parameters on DEACO in economic load dispatch problem. In PECon 2012 - 2012 IEEE International Conference on Power and Energy (pp. 168-171). [6450199] (PECon 2012 - 2012 IEEE International Conference on Power and Energy). https://doi.org/10.1109/PECon.2012.6450199