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Structure of Crow Optimization Algorithm

In: Application of Machine Learning Models in Agricultural and Meteorological Sciences

Author

Listed:
  • Mohammad Ehteram

    (Semnan University, Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering)

  • Akram Seifi

    (Vali-e-Asr University of Rafsanjan, Department of Water Science and Engineering, College of Agriculture)

  • Fatemeh Barzegari Banadkooki

    (Payame Noor University, Agricultural Department)

Abstract

This chapter explained the structure and mathematical model of the crow optimization algorithm (COA). A characteristic of crows is hiding their food. COA’s mathematical model is defined based on the mechanism of hiding food. The algorithms can be used for solving complex problems such as the optimal operation of dam reservoirs, training soft computing models, optimal design of structures, and flood control. The COA can be easily implemented. The fast convergence is another advantage of COA. The COA has high efficiencies for solving multi-objective optimization problems. The COA can be easily coupled with different optimization algorithms.

Suggested Citation

  • Mohammad Ehteram & Akram Seifi & Fatemeh Barzegari Banadkooki, 2023. "Structure of Crow Optimization Algorithm," Springer Books, in: Application of Machine Learning Models in Agricultural and Meteorological Sciences, chapter 0, pages 55-60, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-9733-4_6
    DOI: 10.1007/978-981-19-9733-4_6
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