Sentence examples for assignment model was from inspiring English sources

According to these changes, the locomotive assignment model was solved again, and the produced result is shown in Figure 3.

A flight-slot assignment model is developed and an indexing heuristic arithmetic is designed.

At last, through combining these dual relationships and adding generalized side constraints, new traffic assignment model is built.

Additionally, an industry case study that incorporates Meta-RaPS TSP in a large truck route assignment model is presented.

One side constrained traffic assignment model is presented based on the local nearsighted user equilibrium principle by taking advantage of network dual equilibrium theorem.

The flow-capturing location model is used to determine the location scheme, and the traffic assignment model is used to calculate the corresponding attributes of the freight flows in the transport network.

Using the group representatives and associated similarity coefficients, a linear assignment model is formulated for solving the formation problem by allocating the remaining parts or machines and maximizing a similarity index.

For the improved transportation system with new household and employment distribution patterns, a combined distribution and assignment model is used to map the land-use pattern to the link-loading pattern in the network.

In this study, a traffic assignment model is incorporated with carbon emission evaluation at an individual trip level based on Origin-Destination person trip data in Changzhou, China, taking into account road types, capacity, velocity, and volume.

In consideration of the day-to-day trip-making decisions of travelers, a perception-updating-based stochastic dynamic assignment model is proposed to describe the evolution of the traffic network flow pattern.

This transportation assignment model is built by mean of stochastic chance-constraint programming and solved with a hybrid intelligent algorithm (HIA) which integrates genetic algorithm (GA), stochastic simulation (SS) and neural network (NN).