CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

A New Scale Factor for Differential Evolution Optimization

Published on November 2012 by Devendra Tayal, Charu Gupta
journal_cover_thumbnail

National Conference on Communication Technologies & its impact on Next Generation Computing 2012
Foundation of Computer Science USA
CTNGC - Number 1
November 2012
Authors: Devendra Tayal, Charu Gupta
06208c3c-50b3-4964-bb10-7b62af6436f9

Devendra Tayal, Charu Gupta . A New Scale Factor for Differential Evolution Optimization. National Conference on Communication Technologies & its impact on Next Generation Computing 2012. CTNGC, 1 (November 2012), 1-5.

@article{
author = { Devendra Tayal, Charu Gupta },
title = { A New Scale Factor for Differential Evolution Optimization },
journal = { National Conference on Communication Technologies & its impact on Next Generation Computing 2012 },
issue_date = { November 2012 },
volume = { CTNGC },
number = { 1 },
month = { November },
year = { 2012 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/ctngc/number1/9045-1001/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%A Devendra Tayal
%A Charu Gupta
%T A New Scale Factor for Differential Evolution Optimization
%J National Conference on Communication Technologies & its impact on Next Generation Computing 2012
%@ 0975-8887
%V CTNGC
%N 1
%P 1-5
%D 2012
%I International Journal of Computer Applications
Abstract

In this paper, we propose a new scale factor in differential evolution for optimization of numerical data (low dimensional data) that is both seen in algebraic and exponential form in real world scenarios. With the present work we improve the optimization of DE with real world numerical data set of the Lahi crop production of Pantnagar farm, G. B. Pant University of Agriculture and Technology, Pantnagar, India; inventory demand and population of India. This study focusses on optimization of numerical data that is characterized by single dimension.

References
  1. Ardia D. , Boudt K. , Carl P. , Mullen K. M. and Peterson B. G. 2011. Differential Evolution with DEoptim, The R Journal Vol. 3(1).
  2. Das, S. , Abraham, A. and Konar, A. , 2008a. Automatic clustering using an improved differential evolution algorithm. IEEE Transactions on Systems, Man and Cybernetics- Part A: Systems and Humans, 38(1).
  3. Das S. , Abraham A. and Konar A. , 2008b. Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspective. Studies in Computational Intelligence, Springer, 116, 1-38.
  4. Huarng, K. and Yu, H. K. , 2006. Ratio-based lengths of intervals to improve fuzzy time series forecasting. IEEE Transactions on systems, man, and cybernetics—Part B: cybernetics, 36(2), 328–340.
  5. Holland, J. H. , 1975. Adaptation in Natural and Artificial Systems. MI: University of Michigan Press, Ann Arbor.
  6. Lahmeyer, J. J. , 2003. India, Historical Demographical data of the whole country. [Online] Available at: http://www. populstat. info/ [accessed August 2011]
  7. Paterlini, S. and Krink, T. , 2006. Differential evolution and particle swarm optimization. Computational Statistics & Data analysis, 1220-1247.
  8. Paterlini S. and Minerva T. , 2003. Evolutionary approaches for cluster analysis. In soft computing applications, A. Bonarini, F. Masulli and G. Pasi, Eds. Berlin, Germany: Springer-Verlag, pp. 167-178.
  9. Singh, S. R. , 2008. A computational method of forecasting based on fuzzy time series. Mathematics and Computers in Simulation, 79, 539–554.
  10. Storn, R. and Price, K. , 1997. Differential Evolution – A Simple and Ef?cient Heuristic for Global Optimization over Continuous Space. Journal of Global Optimization, 341–359.
  11. Qin A. K. , Huang V. L. and Suganthan P. N. , 2009. Differential Evolution Algorithm with Strategy Adaptation for Global Numerical Optimization. IEEE Transactions on evolutionary computation, 13(12).
  12. Mininno, E. ; Neri, F. ; Cupertino, F. ; Naso, D. 2011, "Compact Differential Evolution," Evolutionary Computation, IEEE Transactions on, vol. 15, no. 1, pp. 32-54.
Index Terms

Computer Science
Information Sciences

Keywords

Differential Evolution (de) Scale Factor Optimization Numerical Data