A novel hybrid GWO-FPA algorithm for optimization applications

Jeng Shyang Pan, Thi Kien Dao, Shu Chuan Chu, Trong The Nguyen

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

5 Citations (Scopus)

Abstract

The recent trend of research is to hybridize two or several numbers of variants to find out the better quality of solution in practical optimization applications. In this paper, a new approach hybrid Grey Wolf Optimizer (GWO)-Flower Pollination Algorithm (FPA) is proposed based on the combination of exploitation phase in GWO and exploration stage in FPA. The hybrid proposed GWOFPA improves movement directions and speed of the grey wolves in updating positions of FPA. The simulation uses six benchmark tests for evaluating the performance of the proposed method. Compared other metaheuristics such as Particle Swarm Optimization (PSO), FPA, and GWO, the simulation results demonstrate that the proposed approach offers the better performance in solving optimization problems with or without unknown search areas.

Original languageEnglish
Title of host publicationAdvances in Smart Vehicular Technology, Transportation, Communication and Applications - Proceedings of the 1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications
Subtitle of host publicationProceedings of the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, November 6–8, 2017 Kaohsiung, Taiwan
EditorsJeng-Shyang Pan, Tsu-Yang Wu, Yong Zhao, Lakhmi C. Jain
Place of PublicationCham, Switzerland
PublisherSpringer Science and Business Media Deutschland GmbH
Pages274-281
Number of pages8
ISBN (Electronic)978-3-319-70730-3
ISBN (Print)9783319707297
DOIs
Publication statusPublished - 2018
Event1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2017 - Kaohsiung, Taiwan, Province of China
Duration: 6 Nov 20178 Nov 2017

Publication series

NameSmart Innovation, Systems and Technologies
Volume86
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Conference

Conference1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, VTCA 2017
CountryTaiwan, Province of China
CityKaohsiung
Period6/11/178/11/17

Keywords

  • Flower Pollination Algorithm
  • Grey Wolf Optimizer
  • Hybrid GWO-FPA algorithm
  • Optimization

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  • Cite this

    Pan, J. S., Dao, T. K., Chu, S. C., & Nguyen, T. T. (2018). A novel hybrid GWO-FPA algorithm for optimization applications. In J-S. Pan, T-Y. Wu, Y. Zhao, & L. C. Jain (Eds.), Advances in Smart Vehicular Technology, Transportation, Communication and Applications - Proceedings of the 1st International Conference on Smart Vehicular Technology, Transportation, Communication and Applications: Proceedings of the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, November 6–8, 2017 Kaohsiung, Taiwan (pp. 274-281). (Smart Innovation, Systems and Technologies; Vol. 86). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-319-70730-3_33