Route Selection Strategy Research Articles

A combinatorial intelligent computing approach for resolving the delay and flow assignment in computer communication networks

In this paper, the average end-to-end delay of packets in a computer communication network is investigated. The network delay depends mainly on the transmission route and its flow assignment, and can be decreased through a suitable route selection and flow assignment scheme. The route selection is a static virtual-circuit assignment issue and can be consider as a 0–1 quadratic programming problem with multiple constraints. To this end, we first employ the genetic algorithm to initialize the route, then employ a new artificial neural network model to solve the delay problem, resulting in further reduction in total network delay. The simulated results confirm that this combinatorial neural intelligent computing approach is feasible and effective.

A profile of drivers' map-reading abilities.

To create better aids for everyday surface navigation, people's navigational preferences, habits, experiences, abilities, and route-selection strategies were examined. Self-described good navigators like and use maps, and they differentially value landmarks, such as rivers, railroads, and houses, whereas poor navigators tend not to use maps, prefer verbal instructions, and tend to rate all landmarks as equally valuable for route finding. Routes selected by people with varying degrees of familiarity with an area were compared with routes generated by standard graph-search procedures. A shortest-path, breadth-first route characterized half of the "expert" routes, whereas none of the graph-search procedures matched "intermediate" and "novice" routes. A good predictor of whether people chose a particular road was whether the sum of A + B + C (where A equals the straight-line distance from the start to the road, B equals the distance traveled on the road, and C equals the straight-line distance from the departure point on the road to the destination) did not exceed the straight-line distance between start and destination by more than about 20%.