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On A Class Of Hybrid Systems Via A Novel Approach For Real-Coded Genetic Algorithm With Hybrid Selection

Author

Listed:
  • M. SENTHIL ARUMUGAM

    (Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Melaka, Malaysia)

  • M. V. C. RAO

    (Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, 75450 Melaka, Malaysia)

Abstract

A real-coded genetic algorithm (RGA) approach with hybrid selection method to compute the optimal control and cost (fitness) of a single stage hybrid system is investigated. A typical numerical example is included to illustrate the efficacy of the proposed algorithm, which gives the better solution in comparison with forward algorithm. Several statistical tests are also carried out to prove the improved performance of the proposed algorithm. ANOVA test andt-test are also done to verify the betterment of the RGA with hybrid selection. From the experimental approach of the various proportion of the hybrid selection, the right proportions of the hybrid selection is identified and tested.

Suggested Citation

  • M. Senthil Arumugam & M. V. C. Rao, 2007. "On A Class Of Hybrid Systems Via A Novel Approach For Real-Coded Genetic Algorithm With Hybrid Selection," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(02), pages 315-332.
    • Handle: RePEc:wsi:ijitdm:v:06:y:2007:i:02:n:s0219622007002460
    DOI: 10.1142/S0219622007002460
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    Cited by:

    1. Jafarian, Ahmad & Asgari, Nasrin & Mohri, Seyed Sina & Fatemi-Sadr, Elham & Farahani, Reza Zanjirani, 2019. "The inventory-routing problem subject to vehicle failure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 254-294.

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