For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Data-Based Adaptive Fuzzy Wavelet Filter for Robot-Assisted System
p.1994
LS-SVM Based Self-Learning Tremor Controller for Microsurgery
p.1999
The Symmetrical Variation of 2DPCA for Face Recognition
p.2004
The Research on Mediating Effect Model of Relationship Benefits in Materials Industries: Data Mining
p.2009
Towards the Harmonious Mating for Genetic Algorithms
p.2013
Six-Dimensional Chaotic System and its Circuit Implementation
p.2018
User Identification Based on Force-Sensing Keypad by Force-Space-Time Method
p.2023
Improving Relevance Feedback via Using Support Vector Machines
p.2028
Preprocessing in Model Counting through Clause and Variable Elimination
p.2033

Towards the Harmonious Mating for Genetic Algorithms

Article Preview

Abstract:

Genetic algorithms (GAs) have achieved lots of success in various applications, but the problem to balance exploration and exploitation of population is still up in the air. In this paper, we propose a variant of genetic algorithm with mating operator GASF to alleviate the problem; GASF measures the mating attractiveness of individuals from four aspects: gender, age, similarity and fitness. Individuals are assigned gender to facilitate mimicking human reproduction, and contributions of age, similarity and fitness to the attractiveness are respectively quantified and self-adaptively adjusted. Experimental results indicate that the proposed approach can achieve competitive performance with improved convergence.

You might also be interested in these eBooks
Advances in Civil Engineering, CEBM 2011 View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 255-260)

Pages:

2013-2017

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.255-260.2013

Citation:

Cite this paper

Online since:

May 2011

Authors:

Fa Liang Huang

Keywords:

Genetic Algorithm (GA), Individual Age, Individual Gender, Individual Similarity, Mating Scheme

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] L.J. Eshelman, J.D. Schaffer, in: Proc. ICGA 1991, pp.115-122.

Google Scholar

[2] C. Fernandes, R. Tavares, A. Rosa, in: Proc. of the ACM SAC, (2000) , pp.477-482.

Google Scholar

[3] K. Matsui, IEEE Int. Conf. Systems, Man, Cybernet. 1 (1999) , p.625–630.

Google Scholar

[4] R. Craighurst, W. Martin, in: Proc. ICGA 1996, pp.130-135.

Google Scholar

[5] C. Ryan, in: Proceedings of EP'95. The MIT Press.

Google Scholar

[6] S. De, S.K. Pal, A. Ghosh, Inform. Sci. 105 (1998) , p.209–226.

Google Scholar

[7] C. Fernandes, R. Tavares, C. Munteanu, A. Rosa, Proc. ACM SAC, (2001) , p.361–365.

Google Scholar

[8] G. Ochoa, C. Mädler-Kron, R. Rodriguez, Klaus Jaffe, EvoWorkshops (2005) , pp.617-622

Google Scholar

[9] Chuan-Kang Ting, Sheng-Tun Li, Chungnan Lee, Inform. Sci. 156 (2003) , p.189–214

Google Scholar

[10] C. Fernandes, A. C. Rosa, Soft Comput. 12(10) , pp.955-979

Google Scholar

[11] Sanchez-Velazco, J. Bullinaria, J. In IASTED NCI 2003. ACTA Press.

Google Scholar

[12] M. Last, S. Eyal. Fuzzy Sets and Systems 149 (2005) , p.131–147

Google Scholar

[13] K. Tahera, R. N. Ibrahim and P. B. Lochert. IDSA 2007, pp.883-888.

Google Scholar

[14] D. Vrajitoru, Indiana University South Bend, Comp. and Inform. Sci. Dep., TR-20050520-1.

Google Scholar

[15] F. Huang, N. Xiao, Q. Chen, ICNC (4) 2009, pp.222-226

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.