A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system
Yazarlar (3)
Prof. Dr. Cemal Yilmaz Gazi Üniversitesi, Türkiye
Dr. Öğr. Üyesi Enes CENGİZ Sinop Üniversitesi, Türkiye
Prof. Dr. Hamdi Tolga Kahraman Karadeniz Teknik Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Expert Systems with Applications (Q1)
Dergi ISSN 0957-4174 Dergi Bilgileri (2024)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Ingilizce Basım Tarihi 07-2024
Kabul Tarihi Yayınlanma Tarihi 01-07-2024
Cilt / Sayı / Sayfa 245 / 1 / 123115–0 DOI 10.1016/j.eswa.2023.123115
Makale Linki http://dx.doi.org/10.1016/j.eswa.2023.123115
UAK Araştırma Alanları
Yapay Zeka Görüntü İşleme
Özet
Synchronization of the Traveling Salesman Problem with Drone (TSP-D) is one of the most complex NP-hard combinatorial routing problems in the literature. The speeds, capacities and optimization constraints of the truck-drone pair are different from each other. These differences lead to the search space of TSP-D having a high geometric complexity and a large number of local solution traps. Being able to avoid local solution traps in the search space of TSP-D and accurately converge to the global optimal solution is the main challenge for evolutionary search algorithms. The way to overcome this challenge is to dynamically adapt exploitation and exploration behaviors during the search process and maintain these two in a balanced manner depending on the geometric structure of TSP-D's search space. To overcome this challenge, research consisting of three steps was conducted in this article: (i) three different …
Anahtar Kelimeler
Fitness-Distance Balance-based Evolutionary Algorithm (FDB-EA) | Guide selection method | Routing optimization | Stability analysis | TSP-D problem
Science Direct
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 28
Scopus 29
Google Scholar 33
A new evolutionary optimization algorithm with hybrid guidance mechanism for truck-multi drone delivery system

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