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Rat Swarm 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 reviews the application of rat swarm optimization algorithms (RSOA) for solving different optimization problems. RSOA is a robust and simple optimization algorithm. There are both male and female rats in a group of rats. A mathematical model of rats’ chasing and fighting behaviors is used to design an RSO algorithm and optimize the results. The results indicated that the RSOA was implemented for solving complex problems. The RSOA is a robust optimizer for training soft computing models. The high accuracy and fast convergence are the advantages of RSOA.

Suggested Citation

  • Mohammad Ehteram & Akram Seifi & Fatemeh Barzegari Banadkooki, 2023. "Rat Swarm Optimization Algorithm," Springer Books, in: Application of Machine Learning Models in Agricultural and Meteorological Sciences, chapter 0, pages 73-76, Springer.
    • Handle: RePEc:spr:sprchp:978-981-19-9733-4_9
    DOI: 10.1007/978-981-19-9733-4_9
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