A novel Flower Pollination Algorithm based on Genetic Algorithm Operators

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Journal Title
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Conference article in proceedings
Date
2018
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Language
en
Pages
7
1060-1066
Series
Proceedings of The 9th EUROSIM Congress on Modelling and Simulation (EUROSIM 2016), The 57th SIMS Conference on Simulation and Modelling (SIMS 2016), Linköping electronic conference proceedings, issue 142
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.
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Citation
Fouad , A , Zenger , K & Gao , X 2018 , A novel Flower Pollination Algorithm based on Genetic Algorithm Operators . in E Juuso , E Dahlquist & K Leiviskä (eds) , Proceedings of The 9th EUROSIM Congress on Modelling and Simulation (EUROSIM 2016), The 57th SIMS Conference on Simulation and Modelling (SIMS 2016) . Linköping electronic conference proceedings , no. 142 , Linköping University Electronic Press , pp. 1060-1066 , EUROSIM Congress on Modelling and Simulation & SIMS Conference on Simulation and Modelling , Oulu , Finland , 12/09/2016 . https://doi.org/10.3384/ecp17142