Cricket behaviour-based evolutionary computation technique in solving engineering optimization problems

Canayaz M., KARCI A.

APPLIED INTELLIGENCE, cilt.44, sa.2, ss.362-376, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 44 Sayı: 2
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1007/s10489-015-0706-6
  • Dergi Adı: APPLIED INTELLIGENCE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.362-376
  • Anahtar Kelimeler: Nature-inspired algorithm, Meta-heuristic algorithm, Evolutionary computation, Cricket Algorithm, Applied intelligence, SEARCH ALGORITHM, SWARM
  • Van Yüzüncü Yıl Üniversitesi Adresli: Evet

Özet

Meta-heuristicalgorithms are widely used in various areas such as engineering, statistics, industrial, image processing, artificial intelligence etc. In this study, the Cricket algorithm which is a novel nature-inspired meta-heuristic algorithm approach which can be used for the solution of some global engineering optimization problems was introduced. This novel approach is a meta-heuristic method that arose from the inspiration of the behaviour of crickets in the nature. It has a structure for the use in the solution of various problems. In the development stage of the algorithm, the good aspects of the Bat, Particle Swarm Optimization and Firefly were experimented for being applied to this algorithm. In addition to this, because of the fact that these insects intercommunicate through sound, the physical principles of sound propagation in the nature were practiced in the algorithm. Thanks to this, the compliance of the algorithm to real life tried to be provided. This new developed approach was applied on the familiar global engineering problems and the obtained results were compared with the results of the algorithm applied to these problems.