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Reseach Article

Tuning Exploitation and Exploration for Flower Pollination Algorithm: A Case Study on Function Optimization Problem

by Tahsin Aziz, Md. Rashedul Karim Chowdhury, Nafiul Nawjis, Mohammad Shafiul Alam
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 24
Year of Publication: 2019
Authors: Tahsin Aziz, Md. Rashedul Karim Chowdhury, Nafiul Nawjis, Mohammad Shafiul Alam
10.5120/ijais2019451824

Tahsin Aziz, Md. Rashedul Karim Chowdhury, Nafiul Nawjis, Mohammad Shafiul Alam . Tuning Exploitation and Exploration for Flower Pollination Algorithm: A Case Study on Function Optimization Problem. International Journal of Applied Information Systems. 12, 24 ( October 2019), 1-6. DOI=10.5120/ijais2019451824

@article{ 10.5120/ijais2019451824,
author = { Tahsin Aziz, Md. Rashedul Karim Chowdhury, Nafiul Nawjis, Mohammad Shafiul Alam },
title = { Tuning Exploitation and Exploration for Flower Pollination Algorithm: A Case Study on Function Optimization Problem },
journal = { International Journal of Applied Information Systems },
issue_date = { October 2019 },
volume = { 12 },
number = { 24 },
month = { October },
year = { 2019 },
issn = { 2249-0868 },
pages = { 1-6 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number24/1064-2019451824/ },
doi = { 10.5120/ijais2019451824 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:09:56.392420+05:30
%A Tahsin Aziz
%A Md. Rashedul Karim Chowdhury
%A Nafiul Nawjis
%A Mohammad Shafiul Alam
%T Tuning Exploitation and Exploration for Flower Pollination Algorithm: A Case Study on Function Optimization Problem
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 24
%P 1-6
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nature has exposed various progression to the researchers around the world. For solving diverse types of problems, many nature inspired algorithms are used. Swarm Intelligence (SI) Algorithms generally evolve from the biological behavior of nature. These algorithms use Probabilistic search methods which is used to resemble the behavior of biological entities. Flower Pollination Algorithm is one of them. Flower pollination can take place either in two ways: Global Pollination and Local Pollination. This paper has experimented with different mix of global and local operations to discover their optimal proportion for different uni-modal and multi-modal problems and with different search space size.

References
  1. Y. Xin-She, “Engineering Optimization: An Introduction with Metaheuristic Application,” Wiley, 2010.
  2. H. A. Abbass and R. Sarker, “The Pareto diffential evolution algorithm,” Int. J. Artificial Intelligence Tools, vol. 11(4), pp. 531-552, 2002.
  3. Y. Xin-She,“Nature-inspired Metaheuristic Algorithms,” Luniver Press, 2008.
  4. Y. Xin-She, K. Mehmet and H. Xingshi, “Multi-objective Flower Algorithm for Optimization,” in International Conference on Computational Science, ICCS 2013, 2013.
  5. M. Walker, “How flowers conquered the world,” BBC Earth News, 10 July 2009.
  6. Y. Xin-She, “Flower pollination algorithm for global optimization,” Unconventional Computation and Natural Computation, Lecture Notes in Computer Science, vol. 7445, p. 240–249, 2012.
  7. 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.
  8. 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.
  9. N. Waser, “Flower constancy: definition, cause and measurement,” The American Naturalist, 1986.
  10. A.-R. Osama, A.-B. Mohamed and E.-h. Ibrahim, “A Novel Hybrid Flower Pollination Algorithm with Chaotic Harmony Search for Solving Sudoku Puzzles,” International Journal of Engineering Trends and Technology (IJETT), vol. 7, no. 3, pp. 126-132, January 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Meta-heuristics Algorithm Flower Pollination Algorithm Bioinformatics Swarm Intelligence