Improved antlion optimization algorithm via tournament selection

KILIÇ H., YÜZGEÇ U.

9th International Conference on Computational Intelligence and Communication Networks, CICN 2017, Girne, Kıbrıs (Gkry), 16 - 17 Eylül 2017, cilt.2018-January, ss.200-205 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 2018-January
  • Doi Numarası: 10.1109/cicn.2017.8319385
  • Basıldığı Şehir: Girne
  • Basıldığı Ülke: Kıbrıs (Gkry)
  • Sayfa Sayıları: ss.200-205
  • Anahtar Kelimeler: antlion, benchmark, heuristic, optimization, tournament
  • Bilecik Şeyh Edebali Üniversitesi Adresli: Evet

Özet

© 2017 IEEE.From the measurement point of view, it is observed that antlion optimization algorithm (ALO) runs slower than other heuristic algorithms and it needs to be improved in terms of optimality and accuracy. For this reason, improved antlion optimization algorithm via tournament selection (IALOT) is presented in this study. IALOT, ALO, particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms have been evaluated using benchmark test functions such as time, optimality, accuracy, CPU time, number of function evaluations (NFE), mean best solution and standard deviation. In summary, elite antlion selection, random walks, and other parts of the antlion optimization algorithm have been developed. As a result, the IALOT algorithm has shown better results than ALO algorithm.