• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. Information Technology Journal
  2. Vol 12 (9), 2013
  3. 1796-1803
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 9 | Page No.: 1796-1803
DOI: 10.3923/itj.2013.1796.1803

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail

Article Trend



Total views 209

Authors


Feng-Zhe Cui

Country: China

Lei Wang

Country: China

Zhi-Zheng Xu

Country: China

Xiu-Kun Wang

Country: China

Hong-Fei Teng

Country: China

Keywords


  • multimodal function
  • nonseparable function
  • optimization
  • cooperative coevolutionary differential evolution algorithm
  • Dual-system
Research Article

Dual-system Cooperative Coevolutionary Differential Evolution Algorithm for Solving Nonseparable Function Optimization

Feng-Zhe Cui, Lei Wang, Zhi-Zheng Xu, Xiu-Kun Wang and Hong-Fei Teng
In recent years, researches on high-dimensional nonseparable function optimization have made progress. Approaches based on Potter’s Cooperative Coevolutionary (CC) framework have achieved better results and aroused a great attention. However, the computational results are still unsatisfying for most Benchmark functions. Therefore, this study develops a dual-system (population) cooperative coevolutionary differential evolution (DCCDE) algorithm based on dual-system Evolutionary Algorithm (EA). This algorithm adopts a variable static grouping pattern and a improved Differential Evolution (DE) algorithm combined with simple crossover (SPX) local search strategy and modifies the migration pattern of the sub-individuals (not subpopulations) among the subsystems (subgroups of variables) in the dual-system. The test results of 20 Benchmark functions (including 17 nonseparable functions, dimension D = 1000) show that the proposed algorithm is better than other algorithms in computational accuracy.
PDF Fulltext XML References Citation

How to cite this article

Feng-Zhe Cui, Lei Wang, Zhi-Zheng Xu, Xiu-Kun Wang and Hong-Fei Teng, 2013. Dual-system Cooperative Coevolutionary Differential Evolution Algorithm for Solving Nonseparable Function Optimization. Information Technology Journal, 12: 1796-1803.

DOI: 10.3923/itj.2013.1796.1803

URL: https://scialert.net/abstract/?doi=itj.2013.1796.1803

Related Articles

Adaptive SAGA Based on Mutative Scale Chaos Optimization Strategy
A New Differential Evolutionary Algorithm with Neighborhood Search
An Efficient Differential Evolution Algorithm For Function Optimization

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved