Close
Help





JOURNAL

Evolutionary Bioinformatics

A Modified Mean Gray Wolf Optimization Approach for Benchmark and Biomedical Problems

Submit a Paper


Evolutionary Bioinformatics 2017:13 1176934317729413

Original Research

Published on 11 Sep 2017

DOI: 10.1177/1176934317729413


Further metadata provided in PDF



Sign up for email alerts to receive notifications of new articles published in Evolutionary Bioinformatics

Abstract

A modified variant of gray wolf optimization algorithm, namely, mean gray wolf optimization algorithm has been developed by modifying the position update (encircling behavior) equations of gray wolf optimization algorithm. The proposed variant has been tested on 23 standard benchmark well-known test functions (unimodal, multimodal, and fixed-dimension multimodal), and the performance of modified variant has been compared with particle swarm optimization and gray wolf optimization. Proposed algorithm has also been applied to the classification of 5 data sets to check feasibility of the modified variant. The results obtained are compared with many other meta-heuristic approaches, ie, gray wolf optimization, particle swarm optimization, population-based incremental learning, ant colony optimization, etc. The results show that the performance of modified variant is able to find best solutions in terms of high level of accuracy in classification and improved local optima avoidance.



Downloads

PDF  (3.20 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

XML   (194.30 KB XML FORMAT)

BibTex citation   (BIBDESK, LATEX)





Quick Links


New article and journal news notification services