Article | Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016 | A Novel Flower Pollination Algorithm based on Genetic Algorithm Operators Linköping University Electronic Press Conference Proceedings
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Title:
A Novel Flower Pollination Algorithm based on Genetic Algorithm Operators
Author:
Allouani Fouad: Department of Industrial Engineering, University of Khenchela, Algeria Kai Zenger: Department of Electrical Engineering and Automation, Aalto University, Aalto, Finland Xiao-Zhi Gao: Machine Vision and Pattern Recognition Laboratory, Lappeenranta University of Technology, Lappeenranta, Finland / School of Computing, University of Eastern Finland, Kuopio, Finland
DOI:
10.3384/ecp171421060
Download:
Full text (pdf)
Year:
2018
Conference:
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016
Issue:
142
Article no.:
156
Pages:
1060-1066
No. of pages:
7
Publication type:
Abstract and Fulltext
Published:
2018-12-19
ISBN:
978-91-7685-399-3
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Publisher:
Linköping University Electronic Press, Linköpings universitet


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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. Experimental results show that FPA-GA is very competitive.

Keywords: flower pollination algorithm, crossover, mutation, genetic algorithm (GA)

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Allouani Fouad, Kai Zenger, Xiao-Zhi Gao
Title:
A Novel Flower Pollination Algorithm based on Genetic Algorithm Operators
DOI:
http://dx.doi.org/10.3384/ecp171421060
References:
No references available

Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM 2016, The 57th SIMS Conference on Simulation and Modelling SIMS 2016

Author:
Allouani Fouad, Kai Zenger, Xiao-Zhi Gao
Title:
A Novel Flower Pollination Algorithm based on Genetic Algorithm Operators
DOI:
https://doi.org10.3384/ecp171421060
Note: the following are taken directly from CrossRef
Citations:
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