Strategy creation, decomposition and distribution in particle navigation: Memory module

Beldek U., LEBLEBİCİOĞLU M. K.

IFAC Proceedings Volumes (IFAC-PapersOnline), cilt.16, ss.46-51, 2005 (Scopus) identifier

  • Yayın Türü: Makale / Özet
  • Cilt numarası: 16
  • Basım Tarihi: 2005
  • Doi Numarası: 10.3182/20050703-6-cz-1902.01086
  • Dergi Adı: IFAC Proceedings Volumes (IFAC-PapersOnline)
  • Derginin Tarandığı İndeksler: Scopus
  • Sayfa Sayıları: ss.46-51
  • Anahtar Kelimeler: Agents, Genetic algorithms, Optimization, Path planning, Robot navigation, Rule-based systems
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

in particle navigation problem strategy development is crucial. The difficulties encountered by the particles during their navigation tasks require different approaches in problem solving. One way to overcome the difficulties is to divide the problem into simple modules and develop solutions for these modules separately. Basically, two different modules are sufficient in addition to the main body to develop a successful solver. The first module (conflict module), which is developed by genetic programming, is used when the particles are in conflict. The second module (memory module) helps the particles to escape from local regions. Copyright © 2005 IFAC.