A nature inspired heuristic optimization algorithm based on lightning

Hussain Shareef, Md Mainul Islam, Ahmad Asrul Ibrahim, Ammar Hussein Mutlag

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

8 Citations (Scopus)

Abstract

This paper presents a nature inspired heuristic optimization algorithm based on lightning process called the lightning search algorithm (LSA) to solve optimization problems. It is derived from the natural phenomenon of lightning and the process of step leader propagation using the theory of fast particles. Three particle types are established to characterize the transition particles that generate the first step leader population, the space particles that try to become the leader, and the lead particle that represent the particle excited from best positioned step leader. To access the correctness and efficiency of the suggested algorithm, the LSA is verified using a well-used 10 benchmark functions with several characteristics. A comparative study with two other established methods is conducted to confirm and compare the performance of the LSA. The result exhibits that the LSA usually delivers better results compared with the other experimented methods with a high convergence rate.

Original languageEnglish
Title of host publicationProceedings - AIMS 2015, 3rd International Conference on Artificial Intelligence, Modelling and Simulation
EditorsMohd Hanafi Ahmad Hijazi, Ismail Saad, David Al-Dabass, Nurmin Bolong
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages9-14
Number of pages6
ISBN (Electronic)9781467386753
DOIs
Publication statusPublished - Oct 20 2016
Event3rd International Conference on Artificial Intelligence, Modelling and Simulation, AIMS 2015 - Kota Kinabalu, Sabah, Malaysia
Duration: Dec 2 2015Dec 4 2015

Publication series

NameProceedings - AIMS 2015, 3rd International Conference on Artificial Intelligence, Modelling and Simulation

Conference

Conference3rd International Conference on Artificial Intelligence, Modelling and Simulation, AIMS 2015
Country/TerritoryMalaysia
CityKota Kinabalu, Sabah
Period12/2/1512/4/15

Keywords

  • Benchmark function
  • lightning search algorithm
  • nature-inspired algorithms
  • optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modelling and Simulation

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