Analyzing and Fixing the Grasshopper Optimization Algorithm

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Altinöz Ö. T.

ADVANCED AND CONTEMPORARY STUDIES IN ENGINEERING, Doç. Dr. Mehmet Sait Cengiz, Editör, Duvar, İzmir, ss.385-396, 2023

  • Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
  • Basım Tarihi: 2023
  • Yayınevi: Duvar
  • Basıldığı Şehir: İzmir
  • Sayfa Sayıları: ss.385-396
  • Editörler: Doç. Dr. Mehmet Sait Cengiz, Editör
  • Ankara Üniversitesi Adresli: Evet

Özet

Single objective optimization algorithms (SOOA) are designed to
solve real-word applications with the single objective (SOOPs). As a method to
solve these problems Grasshopper optimization algorithm (GOA) is proposed by
modeling to mimic the behavior of the grasshopper swarms. The main
disadvantage of the GOA is the tendency to fall on the local optimum. At the
same time the stochastic methods which rely on the random operators help to
avoid the local optimum problem. For this reason, the behavior of the GOA has
constructed again to get a better performance. The improvement on the algorithm
demonstrated on both mathematical analysis and the empirical study on the
benchmark problems. The results proves that the proposed change in the GOA
produce superior values on all benchmark problems.