Evaluation of a novel bees algorithm for improvement of genetic algorithms in a classification model

Amir Jamshidnezhad, Md. Jan Nordin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A major issue which divides the colony insects algorithms from the classical Genetic Algorithms is higher performance of the those natural based algorithms in comparison with the classical types. Processing times, Local optima problem and low accuracy in the complex optimization problems are the most important lacks of classical Genetic Algorithms. In this article a novel hybrid Bees Algorithm is proposed to optimizes the performance of a Fuzzy classification while the limited raw input data as the features are used. In this model, the proposed Bees Algorithm simulates the honey bees behaviour in the offspring generation process called Bee Royalty Offspring Algorithm (BROA) to improve the training process of classic Genetic Algorithm. The evaluation results illustrated that the BROA improves considerably the accuracy rate and the performance of the training process of classical Genetic Algorithms.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Informatics and Creative Multimedia, ICICM 2013
PublisherIEEE Computer Society
Pages147-152
Number of pages6
ISBN (Print)9780769551333
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Informatics and Creative Multimedia, ICICM 2013 - Kuala Lumpur
Duration: 4 Sep 20136 Sep 2013

Other

Other2013 International Conference on Informatics and Creative Multimedia, ICICM 2013
CityKuala Lumpur
Period4/9/136/9/13

Fingerprint

Genetic algorithms
Processing

Keywords

  • Bee royalty offspring algorithm
  • Classification
  • Facial expressions recognition
  • Fuzzy rule based system
  • Genetic algorithms

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Information Systems

Cite this

Jamshidnezhad, A., & Nordin, M. J. (2013). Evaluation of a novel bees algorithm for improvement of genetic algorithms in a classification model. In Proceedings - 2013 International Conference on Informatics and Creative Multimedia, ICICM 2013 (pp. 147-152). [6702800] IEEE Computer Society. https://doi.org/10.1109/ICICM.2013.32

Evaluation of a novel bees algorithm for improvement of genetic algorithms in a classification model. / Jamshidnezhad, Amir; Nordin, Md. Jan.

Proceedings - 2013 International Conference on Informatics and Creative Multimedia, ICICM 2013. IEEE Computer Society, 2013. p. 147-152 6702800.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jamshidnezhad, A & Nordin, MJ 2013, Evaluation of a novel bees algorithm for improvement of genetic algorithms in a classification model. in Proceedings - 2013 International Conference on Informatics and Creative Multimedia, ICICM 2013., 6702800, IEEE Computer Society, pp. 147-152, 2013 International Conference on Informatics and Creative Multimedia, ICICM 2013, Kuala Lumpur, 4/9/13. https://doi.org/10.1109/ICICM.2013.32
Jamshidnezhad A, Nordin MJ. Evaluation of a novel bees algorithm for improvement of genetic algorithms in a classification model. In Proceedings - 2013 International Conference on Informatics and Creative Multimedia, ICICM 2013. IEEE Computer Society. 2013. p. 147-152. 6702800 https://doi.org/10.1109/ICICM.2013.32
Jamshidnezhad, Amir ; Nordin, Md. Jan. / Evaluation of a novel bees algorithm for improvement of genetic algorithms in a classification model. Proceedings - 2013 International Conference on Informatics and Creative Multimedia, ICICM 2013. IEEE Computer Society, 2013. pp. 147-152
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