Two-Phase Fuzzy C-Means and Genetic Algorithm for Food Distribution

Baytürk E., Esnaf S., KÜÇÜKDENİZ T.

International Symposium for Production Research, ISPR 2020, Antalya, Türkiye, 24 - 26 Eylül 2020, ss.453-460, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1007/978-3-030-62784-3_38
  • Basıldığı Şehir: Antalya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.453-460
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır

Özet

© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.Covid-19 is a pandemic that effects all around the world nowadays. Some countries decided to isolate areas to reduce the spreading of the virus. During this isolation, one of the most important things for people to get food and necessary items to survive during lockdown period. In this study, two-phase Fuzzy C-Means and Genetic Algorithms proposed for this problem. Proposed algorithm compared with genetic algorithm in a real case study in Kuwait. As a result, prosed algorithm gives better result according to total travelled distance by all trucks.