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 pickup
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