… on time and the total transportation cost is minimized. … We first select a random spoke among
the active ones in the … of the batches are, since the cardinality of each batch is bigger. In …

… to different optimal conditions for vehicle routing [6], [7]. … cardinality minimization to obtain a
path regarded as the … adopt the enumeration method to find out the optimal path which visits …

… In order to verify the effectiveness of our approach and its … In a cardinality-based RCL,
the latter is made up by the k top-… Second, after determining the subsequence S1, a random …

… with a focus on energy loss minimization, we extend the result … In the j-th iteration, we first
determine the shortest path, in terms … Before that, we investigate the growth of cardinality of P, …

… uncertainty, first a Vehicle Routing Problem model is … method called robust optimization, is
applied to handle time uncertainty. The corresponding results show that the proposed method …

… context: Finding routes for cars in a city to minimize travel time and … We will assume that
random variables associated with … is an exact method to solve the multi-objective shortest path …

… approaches that modify the pricing algorithm, our approach … extreme points of the
cardinality-constrained and factor model … can be modeled as a shortest path problem with …

… We minimize the sum of the routing cost and of the expected … | · ∊ , where | V c | is the cardinality
of set V c and ∊ is a factor … The smallest route removal operator helps to search in larger …

… approach for the two-echelon vehicle routing problem with … programming and aims to
minimise the total expected … = {1, … , } represents the set of satellites ( is the cardinality of …

… in the field of combinatorial optimization. It is a generalization … of edges E represents the
shortest paths between customers. … cardinality of the set of vehicles K to the number of vehicles …