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DOI: 10.14569/IJACSA.2016.070735
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An Investigation and Comparison of Invasive Weed, Flower Pollination and Krill Evolutionary Algorithms

Author 1: Marjan Abdeyazdan
Author 2: Samaneh Mehri Dehno
Author 3: Sayyed Hedayat Tarighinejad

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 7, 2016.

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Abstract: Being inspired by natural phenomena and available biological processes in the nature is one of the difficult methods of problem solving in computer sciences. Evolutionary methods are a set of algorithms that are inspired from the nature and are based on their evolutionary mechanisms. Unlike other optimizing methods of problem solving, evolutionary algorithms do not require any prerequisites and usually offer solutions very close to optimized answers. Based on their behavior, evolutionary algorithms are divided into two categories of biological processes based on plant behavior and animal behavior. Various evolutionary algorithms have been proposed so far to solve optimization problems, some of which include evolutionary algorithm of invasive weed and flower pollination algorithm that are inspired by plants and krill algorithm inspired by the animal algorithm of sea animals. In this paper, a comparison is made for the first time between the accuracy and rate of involvement in local optimization of these new evolutionary algorithms to identify the best algorithm in terms of efficiency. Results of various tests show that invasive weed algorithm is more efficient and accurate than flower pollination and krill algorithms.

Keywords: evolutionary algorithm; invasive weed algorithm; flower pollination algorithm; krill algorithm

Marjan Abdeyazdan, Samaneh Mehri Dehno and Sayyed Hedayat Tarighinejad, “An Investigation and Comparison of Invasive Weed, Flower Pollination and Krill Evolutionary Algorithms” International Journal of Advanced Computer Science and Applications(IJACSA), 7(7), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070735

@article{Abdeyazdan2016,
title = {An Investigation and Comparison of Invasive Weed, Flower Pollination and Krill Evolutionary Algorithms},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070735},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070735},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {7},
author = {Marjan Abdeyazdan and Samaneh Mehri Dehno and Sayyed Hedayat Tarighinejad}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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