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Structure of Dragonfly 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 explains the structure and mathematical model of the dragonfly optimization algorithm (DFOA). The dragonfly is regarded as a small predator in nature. However, during the exploration phase, dragonflies form small groups and fly back and forth to seek food and attract prey. The DFOA can be used for solving different optimization problems. The DFOA can be easily implemented. Also, the DFOA can be coupled with different optimization algorithms. The DFOA can be used for solving multiobjective optimization problems. The DFOA is a robust optimization algorithm for training soft computing models. This chapter indicated that the DFOA was successfully used in different fields.

Suggested Citation

  • Mohammad Ehteram & Akram Seifi & Fatemeh Barzegari Banadkooki, 2023. "Structure of Dragonfly Optimization Algorithm," Springer Books, in: Application of Machine Learning Models in Agricultural and Meteorological Sciences, chapter 0, pages 67-72, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-9733-4_8
    DOI: 10.1007/978-981-19-9733-4_8
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