scholarly journals Hybrid Metaheuristics for Solving Vehicle Routing Problem in Multi Bulk Product Shipments with Limited Undedicated Compartments

2021 ◽  
Vol 14 (5) ◽  
pp. 320-335
Author(s):  
Antono Adhi ◽  
◽  
Budi Santosa ◽  
Nurhadi Siswanto ◽  
◽  
...  
2005 ◽  
Vol 5 (1) ◽  
pp. 91-110 ◽  
Author(s):  
Leonora Bianchi ◽  
Mauro Birattari ◽  
Marco Chiarandini ◽  
Max Manfrin ◽  
Monaldo Mastrolilli ◽  
...  

Measurement ◽  
2019 ◽  
Vol 141 ◽  
pp. 407-419 ◽  
Author(s):  
Islem Kaabachi ◽  
Hiba Yahyaoui ◽  
Saoussen Krichen ◽  
Abdelkader Dekdouk

2015 ◽  
Vol 58 ◽  
pp. 87-99 ◽  
Author(s):  
Thibaut Vidal ◽  
Maria Battarra ◽  
Anand Subramanian ◽  
Güneş Erdogˇan

2016 ◽  
Vol 3 (1) ◽  
pp. 55-73 ◽  
Author(s):  
Gautham Puttur Rajappa ◽  
Joseph H. Wilck ◽  
John E. Bell

Split Delivery Vehicle Routing Problem (SDVRP) is a relaxation of the Capacitated Vehicle Routing Problem (CVRP) that allows the same customer to be served by more than one vehicle. Existing literature has applied Ant Colony Optimization (ACO) and Genetic Algorithm (GA) to other variants of VRP but no known research effort has applied ACO or a combination of ACO and GA to solve the Split Delivery Vehicle Routing Problem (SDVRP). Hence, two algorithms using ACO and hybrid metaheuristics algorithm comprising a combination of ACO, Genetic Algorithm (GA) and heuristics is proposed and tested on existing benchmark SDVRP problems. The results indicate that the two proposed algorithms are competitive in both solution quality and solution time and for some problem instances, the best ever solutions have been found.


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