The optimization of vehicle routing of communal waste in an urban environment using a nearest neighbirs' algorithm and genetic algorithm: Communal waste vehicle routing optimization in urban areas

2017 ◽  
Author(s):  
Milan Misic ◽  
Aleksandar Dordevic ◽  
Aleksandra Kokic Arsic
Keyword(s):  
Genetic Algorithm ◽  
Vehicle Routing ◽  
Urban Environment ◽  
Urban Areas ◽  
Routing Optimization ◽  
Vehicle Routing Optimization

scholarly journals Vehicle-Routing Optimization for Municipal Solid Waste Collection Using Genetic Algorithm: The Case of Southern Nablus City

2017 ◽  
Vol 26 (3) ◽  
pp. 43-57 ◽  
Author(s):  
Ramiz Assaf ◽  
Yahya Saleh
Keyword(s):  
Genetic Algorithm ◽  
Solid Waste ◽  
Vehicle Routing ◽  
Service Level ◽  
Current Situation ◽  
Waste Collection ◽  
Solid Waste Collection ◽  
Routing Problem ◽  
Routing Optimization ◽  
Vehicle Routing Optimization

Abstract Municipalities are responsible for solid waste collectiont for environmental, social and economic purposes. Practices of municipalities should be effective and efficient, with the objectives of reducing the total incurred costs in the solid waste collection network concurrently achieving the highest service level. This study aims at finding the best routes of solid waste collection network in Nablus city-Palestine. More specifically, the study seeks the optimal route that minimizes the total travelled distance by the trucks and hence the resulted costs. The current situation is evaluated and the problem is modelled as a Vehicle Routing Problem (VRP). The VRP is then optimized via a genetic algorithm. Specifically, compared to the current situation, the trucks total travelled distance was reduced by 66%, whereas the collection time was reduced from 7 hours per truck-trip to 2.3 hours. The findings of this study is useful for all municipality policy makers that are responsible for solid waste collection.

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