Amalia Utamima, Renny Pradina Kusumawardani, Hudan Studiawan : Distribution Route Optimization of Gallon Water Using Genetic Algorithm and Tabu Search

Amalia Utamima S.Kom., M.BA.
Renny Pradina Kusumawardani ST., MT.
Hudan Studiawan S.Kom., M.Kom.



Published in

Procedia Computer Science

External link


Jurnal Internasional


vehicle routing problem; pick-up and delivery; gallon water; genetic algorithm; tabu search


Distributions of drinking water in gallons often do not pay attention to the problem of finding the most optimal route, thus causing inefficiency in the cost of shipping. To minimize incurred costs, it is necessary to minimize vehicle fleet and amount of travel distance, with the restriction that the vehicle must have sufficient capacity to transport the goods to be shipped and return it back to the depots. This problem could be framed as a Vehicle Routing Problem with pick-up and delivery (VRPPD). In this paper, we propose a method to optimize delivery route in a drinking water depot by combining genetic algorithm (GA) and Tabu search. GA has advantages by providing possible solutions while Tabu covers up its shortfall in identifying local solutions so that searching will able to avoid loop in the area of the same solution. Experimental results show that the proposed method is more efficient than a manually predetermined route.