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Antlion 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

Modelers may encounter multidimensional problems. Some of these problems may have constraints. Solving such problems requires robust models. This chapter explains the structure and mathematical model of the antlion optimization algorithm (ALO). Antlions dig holes in the sand. Their prey is trapped in holes. The ALO uses elitism to maintain the best solutions. The ALO can be applied to solve complex problems. The other optimization algorithms can be coupled with ALO to improve the quality of solutions. Also, the ALO can be used as a robust training algorithm for training soft computing models. The fast convergence and high accuracy are the advantages of ALO.

Suggested Citation

  • Mohammad Ehteram & Akram Seifi & Fatemeh Barzegari Banadkooki, 2023. "Antlion Optimization Algorithm," Springer Books, in: Application of Machine Learning Models in Agricultural and Meteorological Sciences, chapter 0, pages 77-82, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-9733-4_10
    DOI: 10.1007/978-981-19-9733-4_10
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