An Effective Genetic Algorithm for Capacitated Vehicle Routing Problem

Faculty Engineering Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Rafat Hessien Elsayed Elshaer
Journal: Proceedings of the International Conference on Industrial Engineering and Operations Management Bandung IEOM society Volume:
Keywords : , Effective Genetic Algorithm , Capacitated Vehicle Routing    
Abstract:
The capacitated vehicle routing problem (CVRP) is an NP-hard problem. Therefore, metaheuristics are often more suitable for practical applications. In this paper, a genetic algorithm (GA) is proposed to solve the problem. The performance of the proposed algorithm is tested on different sets of benchmark instances. The computational results indicate that the algorithm has a satisfactory performance in solving the problem.
    
     
 
       

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  • Rafat Hessien Elsayed Elshaer, "Mostafa Ashour, Raafat Elshaer, Gamal Nawara, “Ant Colony Approach for Optimizing a Multi-stage Closed-Loop Supply Chain with a Fixed Transportation Charge”, Journal of Advanced Manufacturing Systems, 2021, 1-24.", World Scienti¯c Publishing Company, 2021 More
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  • Adel Abdelmoaz, "Flow Shop Scheduling using Genetic Algorithm: historical review and categorization of procedures", ZAGAZIG UNIVERSITY, 2013 More
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  • Gamal Mohamed Ahmed Nawar, "Flow Shop Scheduling using Genetic Algorithm: historical review and categorization of procedures", ZAGAZIG UNIVERSITY, 2013 More
  • Noha Ahmed Ali Mostafa, "OnTimeCargo: A Smart Transportation System Development in Logistics Management by a Design Thinking Approach", AIS Electronic Library (AISeL), 2016 More
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