A novel Flower Pollination Algorithm based on Genetic Algorithm Operators

Allouani Fouad, Kai Zenger, Xiaozhi Gao

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

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Abstract

The Flower Pollination Algorithm (FPA) is a new natural bio-inspired optimization algorithm that mimics the real life processes of the flower pollination. Thus, the latter has a quick convergence, but its population diversity and convergence precision can be limited in some applications. In order to improve its intensification (exploitation) and diversification (exploration) abilities, we have introduced a simple modification in its general structure. More precisely, we have added both Crossover and Mutation Genetic Algorithm (GA) operators respectively, just after calculating the new candidate solutions and the greedy selection operation in its basic structure. The proposed method, called FPA-GA has been tested on all the CEC2005 contest test instances. Ex t FPA-GA is very competitive.










Original languageEnglish
Title of host publicationProceedings of The 9th EUROSIM Congress on Modelling and Simulation (EUROSIM 2016), The 57th SIMS Conference on Simulation and Modelling (SIMS 2016)
EditorsEsko Juuso, Erik Dahlquist, Kauko Leiviskä
PublisherLINKÖPING UNIVERSITY ELECTRONIC PRESS
Pages1060-1066
Number of pages7
ISBN (Print)978-91-7685-399-3
DOIs
Publication statusPublished - 2018
MoE publication typeA4 Article in a conference publication
EventEUROSIM Congress on Modelling and Simulation & SIMS Conference on Simulation and Modelling - Oulu, Finland
Duration: 12 Sep 201616 Sep 2016

Publication series

NameLinköping electronic conference proceedings
PublisherLinköping University Electronic Press
Number142
ISSN (Print)1650-3686
ISSN (Electronic)1650-3740

Conference

ConferenceEUROSIM Congress on Modelling and Simulation & SIMS Conference on Simulation and Modelling
Abbreviated titleEUROSIM 2016 and SIMS 2016
CountryFinland
CityOulu
Period12/09/201616/09/2016

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