Solving Capacitated Vehicle Routing Problem (CVRP) for the Environments with Circular Obstacles

Year 2021, , 283 - 296, 20.08.2021

Mehmet Karakoç , Aybars Ugur

https://doi.org/10.19113/sdufenbed.817282

Abstract

In capacitated vehicle routing problem (CVRP), a fleet of vehicles with a certain capacity starts at a central depot and returns to this starting point after serving some customers by using the optimal set of routes with the minimum cost. However, in real-life, environments may include obstacles such as holes, machines, or trees of different sizes. In this research, a CVRP extension is proposed that is the problem of the classical one for the environments with various sized circular obstacles. To solve this problem, a hybrid meta-heuristic algorithm based on genetic algorithms improved by a local search was developed. Additionally, a visual simulation tool was designed to place obstacles and locations in the working space. The developed algorithm was tested for different customer-obstacle counts and obstacle sizes with various obstacle occupancies in the environment. The results obtained are presented and the problem’s potential applications are discussed.

Keywords

Capacitated vehicle routing problem (CVRP), Circular obstacles, Meta-heuristic, Genetic algorithms, Local search, Simulation

Kapasiteli Araç Rotalama Probleminin (KARP) Dairesel Engeller İçeren Ortamlar için Çözümü

Abstract

Kapasiteli araç rotalama probleminde (KARP), belirli kapasitedeki bir araç filosu merkezî bir depodan harekete geçer ve en düşük maliyetli en uygun rota kümesini kullanarak birtakım müşterilere hizmet verip bu başlangıç noktasına geri döner. Gerçek hayatta ise ortamlar farklı büyüklüklerdeki delik, makine veya ağaç gibi engeller içerebilmektedir. Bu çalışmada, klasik KARP’nin çeşitli büyüklüklerdeki dairesel engeller içeren ortamlar için genişletilmiş bir biçimi önerilmektedir. Bu problemi çözmek için yerel arama ile iyileştirilmiş genetik algoritmalar tabanlı melez bir üst-sezgisel algoritma geliştirilmiştir. Ek olarak, çalışma uzayına engeller ve konumlar yerleştirmek için bir görsel benzetim aracı tasarlanmıştır. Geliştirilen algoritma ortam üzerinde çeşitli engel doluluklarıyla farklı müşteri-engel sayıları ve engel büyüklükleri için sınanmıştır. Elde edilen sonuçlar sunulmuş ve problemin potansiyel uygulamaları tartışılmıştır.

Keywords

Kapasiteli araç rotalama problemi (KARP), Dairesel engeller, Üst-sezgi, Genetik algoritmalar, Yerel arama, Benzetim

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