Next Article in Journal / Special Issue
Pressure Control for a Hydraulic Cylinder Based on a Self-Tuning PID Controller Optimized by a Hybrid Optimization Algorithm
Previous Article in Journal
Length-Bounded Hybrid CPU/GPU Pattern Matching Algorithm for Deep Packet Inspection
Previous Article in Special Issue
Elite Opposition-Based Social Spider Optimization Algorithm for Global Function Optimization
Article Menu

Export Article

Open AccessArticle
Algorithms 2017, 10(1), 18; doi:10.3390/a10010018

Imperialist Competitive Algorithm with Dynamic Parameter Adaptation Using Fuzzy Logic Applied to the Optimization of Mathematical Functions

Tijuana Institute of Technology, Tijuana 22379, Mexico
Author to whom correspondence should be addressed.
Academic Editors: Yun-Chia Liang and Toly Chen
Received: 28 September 2016 / Revised: 4 January 2017 / Accepted: 16 January 2017 / Published: 23 January 2017
(This article belongs to the Special Issue Metaheuristic Algorithms in Optimization and Applications)
View Full-Text   |   Download PDF [4449 KB, uploaded 23 January 2017]   |  


In this paper we are presenting a method using fuzzy logic for dynamic parameter adaptation in the imperialist competitive algorithm, which is usually known by its acronym ICA. The ICA algorithm was initially studied in its original form to find out how it works and what parameters have more effect upon its results. Based on this study, several designs of fuzzy systems for dynamic adjustment of the ICA parameters are proposed. The experiments were performed on the basis of solving complex optimization problems, particularly applied to benchmark mathematical functions. A comparison of the original imperialist competitive algorithm and our proposed fuzzy imperialist competitive algorithm was performed. In addition, the fuzzy ICA was compared with another metaheuristic using a statistical test to measure the advantage of the proposed fuzzy approach for dynamic parameter adaptation. View Full-Text
Keywords: imperialist competitive algorithm; fuzzy logic; dynamic adjust imperialist competitive algorithm; fuzzy logic; dynamic adjust

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bernal, E.; Castillo, O.; Soria, J.; Valdez, F. Imperialist Competitive Algorithm with Dynamic Parameter Adaptation Using Fuzzy Logic Applied to the Optimization of Mathematical Functions. Algorithms 2017, 10, 18.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Algorithms EISSN 1999-4893 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top