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

by Tahsin Aziz, Md. Rashedul Karim Chowdhury, Md. Ahsanul Bari, Mohammad Shafiul Alam
journal cover thumbnail

Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 32
Year of Publication: 2019
Authors: Tahsin Aziz, Md. Rashedul Karim Chowdhury, Md. Ahsanul Bari, Mohammad Shafiul Alam
10.5120/cae2019652848

Tahsin Aziz, Md. Rashedul Karim Chowdhury, Md. Ahsanul Bari, Mohammad Shafiul Alam . Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem. Communications on Applied Electronics. 7, 32 ( Oct 2019), 1-5. DOI=10.5120/cae2019652848

@article{ 10.5120/cae2019652848,
author = { Tahsin Aziz, Md. Rashedul Karim Chowdhury, Md. Ahsanul Bari, Mohammad Shafiul Alam },
title = { Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem },
journal = { Communications on Applied Electronics },
issue_date = { Oct 2019 },
volume = { 7 },
number = { 32 },
month = { Oct },
year = { 2019 },
issn = { 2394-4714 },
pages = { 1-5 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume7/number32/862-2019652848/ },
doi = { 10.5120/cae2019652848 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T20:02:39.607327+05:30
%A Tahsin Aziz
%A Md. Rashedul Karim Chowdhury
%A Md. Ahsanul Bari
%A Mohammad Shafiul Alam
%T Adaptive Flower Pollination Algorithm: A Novel Approach for Function Optimization Problem
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 32
%P 1-5
%D 2019
%I Foundation of Computer Science (FCS), NY, 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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  3. K. S, “Pollination based optimization,” in 6th International Multi Conference on Intelligent Systems, Sustainable, New and Renewable Energy Technology and Nanotechnology (IISN2012), March 16-18,2012.
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  6. Y. Xin-She,“Nature-inspired Metaheuristic Algorithms,” Luniver Press, 2008.
  7. Y. Xin-She, K. Mehmet and H. Xingshi, “Multi-objective Flower Algorithm for Optimization,” in International Conference on Computational Science, ICCS 2013, 2013.
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  9. M. Walker, “How flowers conquered the world,” BBC Earth News, 10 July 2009.
  10. K. Gaganpreet and D. S. Dr., “Pollination Based Optimization or Color Image Segmentation,” International Journal of Computer Engineering and Technology (IJCET), vol. 3, no. 2, pp. 407-414, July-September 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Bioinformatics Flower Pollination Algorithm Probability Self Adaptive

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