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Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem

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Tahsin Aziz, Md. Rashedul Karim Chowdhury, Md. Ahsanul Bari, Mohammad Shafiul Alam. Published in Algorithms.

Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem
Communications on Applied Electronics
Year of Publication: 2019
Publisher: Foundation of Computer Science (FCS), NY, USA
Series: Volume 7 Number 32
Authors: Tahsin Aziz, Md. Rashedul Karim Chowdhury, Md. Ahsanul Bari, Mohammad Shafiul Alam
10.5120/cae2019652848
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Tahsin Aziz, Md. Rashedul Karim Chowdhury, Md. Ahsanul Bari and Mohammad Shafiul Alam. Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem. Communications on Applied Electronics 7(32):1-5, October 2019. BibTeX

@article{10.5120/cae2019652848,
	author = {Tahsin Aziz and Md. Rashedul Karim Chowdhury and Md. Ahsanul Bari and Mohammad Shafiul Alam},
	title = {Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem},
	journal = {Communications on Applied Electronics},
	issue_date = {October 2019},
	volume = {7},
	number = {32},
	month = {Oct},
	year = {2019},
	issn = {2394-4714},
	pages = {1-5},
	numpages = {5},
	url = {http://www.caeaccess.org/archives/volume7/number32/862-2019652848},
	doi = {10.5120/cae2019652848},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Nature is a great source of inspiration for research tasks. Flower Pollination Algorithm is inspired by the pollination process between different plants. Pollination is a natural process between different flowering plants. By this process plants create their offspring. In the process of pollination in flowers the pollen or gamete of male flower transfers to female flower. This paper has proposed a new variant of Flower Pollination Algorithm for continuous problem on Global Optimization by using Probability Modification.

References

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Keywords

Bioinformatics, Flower Pollination Algorithm, Probability, Self Adaptive