Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 5, Issue: 17)
Article Information:

A Fast and Efficient Genetic Evolution Algorithm

Yu-Cheng Liu and Yu-Bin Liu
Corresponding Author:  Yu-Cheng Liu 

Key words:  Accelerating operator, improved genetic algorithm, search speed, traditional genetic algorithm, , ,
Vol. 5 , (17): 4427-4432
Submitted Accepted Published
December 15, 2012 January 19, 2013 May 01, 2013
Abstract:

This study presents an improved genetic algorithm. The algorithm introduced acceleration operator in the traditional genetic algorithm, effectively reducing the computational complexity. The search speed of the algorithm has been greatly improved, so that it can quickly find the global optimal solution. The accelerating collaborative operator lessons from the thoughts of binary search algorithm combining with the variable step length strategy. The accelerating operator has strong local search ability and crossover and mutation operators have strong global search ability, then combining these operators generates a new Genetic algorithm. The tests on the different functions show that the improved algorithm has the advantages of faster convergence and higher stability in the case of a small population than traditional genetic algorithm and can effectively avoid the premature phenomenon.
Abstract PDF HTML
  Cite this Reference:
Yu-Cheng Liu and Yu-Bin Liu, 2013. A Fast and Efficient Genetic Evolution Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 5(17): 4427-4432.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved