A Comparison of Exchange Market Algorithm and Ant Lion Optimizer for Optimal Economic Dispatch

Oluwafemi Ajayi, Nnamdi Nwulu, Uyikumhe Damisa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

This is a comparative study of two metaheuristic algorithms (Exchange Market Algorithm and Ant Lion Optimizer) when applied to solving the economic dispatch optimization problem. Both algorithms were implemented on the standard IEEE 14 bus and 30 bus systems. The results obtained were compared on the metrics of convergence rate, cheaper cost, average runtime and stability. From analysis, there is a trade-off between both algorithms in terms of performance for both test cases which proves the 'No Free Lunch' theorem that there is no metaheuristic algorithm best suited for solving every optimization problem. This study also proves the robustness and effectiveness of the two algorithms in solving optimization problems.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018
EditorsS. K. Niranjan, Veena Desai, Vijay S. Rajpurohit, M N Nadkatti
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages100-103
Number of pages4
ISBN (Electronic)9781538677094
DOIs
Publication statusPublished - Dec 2018
Event1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018 - Belagavi, India
Duration: 21 Dec 201823 Dec 2018

Publication series

NameProceedings of the International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018

Conference

Conference1st International Conference on Computational Techniques, Electronics and Mechanical Systems, CTEMS 2018
Country/TerritoryIndia
CityBelagavi
Period21/12/1823/12/18

Keywords

  • Ant Lion Optimizer
  • Economic Dispatch
  • Exchange MarketAlgorithm
  • Optimization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Communication
  • Computational Mechanics
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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