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Constrained optimization using CODEQ

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  • Omran, Mahamed G.H.
  • Salman, Ayed

Abstract

Many real-world optimization problems are constrained problems that involve equality and inequality constraints. CODEQ is a new, parameter-free meta-heuristic algorithm that is a hybrid of concepts from chaotic search, opposition-based learning, differential evolution and quantum mechanics. The performance of the proposed approach when applied to five constrained benchmark problems is investigated and compared with other approaches proposed in the literature. The experiments conducted show that CODEQ provides excellent results with the added advantage of no parameter tuning.

Suggested Citation

  • Omran, Mahamed G.H. & Salman, Ayed, 2009. "Constrained optimization using CODEQ," Chaos, Solitons & Fractals, Elsevier, vol. 42(2), pages 662-668.
    • Handle: RePEc:eee:chsofr:v:42:y:2009:i:2:p:662-668
    DOI: 10.1016/j.chaos.2009.01.039
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    References listed on IDEAS

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    1. Zuo, X.Q. & Fan, Y.S., 2006. "A chaos search immune algorithm with its application to neuro-fuzzy controller design," Chaos, Solitons & Fractals, Elsevier, vol. 30(1), pages 94-109.
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    Cited by:

    1. Zhao, Ruxin & Wang, Yongli & Liu, Chang & Hu, Peng & Li, Yanchao & Li, Hao & Yuan, Chi, 2020. "Selfish herd optimizer with levy-flight distribution strategy for global optimization problem," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
    2. Garg, Harish, 2016. "A hybrid PSO-GA algorithm for constrained optimization problems," Applied Mathematics and Computation, Elsevier, vol. 274(C), pages 292-305.
    3. Amarjeet Singh & Kusum Deep, 2017. "Hybridizing gravitational search algorithm with real coded genetic algorithms for structural engineering design problem," OPSEARCH, Springer;Operational Research Society of India, vol. 54(3), pages 505-536, September.
    4. Tung L. Dang & Thi H. H. Huynh & Manh T. Nguyen, 2021. "Media attention and firm value: International evidence," International Review of Finance, International Review of Finance Ltd., vol. 21(3), pages 865-894, September.

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