Heuristic routing is a system used to describe how deliveries are made when problems in a network topology arise. Heuristic is an adjective used in relation to methods of learning, discovery, or problem solving. Routing is the process of selecting paths to specific destinations. Heuristic routing is used for traffic in the telecommunications networks and transport networks of the world.
Heuristic routing is achieved using specific algorithms to determine a better, although not always optimal, path to a destination. When an interruption in a network topology occurs, the software running on the networking electronics can calculate another route to the desired destination via an alternate available path.
According to Shuster & Schur (1974, p. 1):
The heuristic approach to problem solving consists of applying human intelligence, experience, common sense and certain rules of thumb (or heuristics) to develop an acceptable, but not necessarily an optimum, solution to a problem. Of course, determining what constitutes an acceptable solution is part of the task of deciding which approach to use; but broadly defined, an acceptable solution is one that is both reasonably good (close to optimum) and derived within reasonable effort, time, and cost constraints. Often the effort (manpower, computer, and other resources) required, the time limits on when the solution is needed, and the cost to compile, process, and analyze all the data required for deterministic or other complicated procedures preclude their usefulness or favor the faster, simpler heuristic approach. Thus, the heuristic approach is generally used when deterministic techniques or are not available, economical, or practical.
Heuristic routing allows a measure of route optimization in telecommunications networks based on recent empirical knowledge of the state of the network. Data, such as time delay, may be extracted from incoming messages, during specified periods and over different routes, and used to determine the optimum routing for transmitting data back to the sources.
Heuristicrouting is a system used to describe how deliveries are made when problems in a network topology arise. Heuristic is an adjective used in relation...
Routing is the process of selecting a path for traffic in a network or between or across multiple networks. Broadly, routing is performed in many types...
point-to-point routing, composite routing problems are also common. The Traveling salesman problem asks for the optimal (least distance/cost) ordering and route to...
to be considered while designing a routing algorithm is avoiding a deadlock. Turn restriction routing is a routing algorithm for mesh-family of topologies...
can do more than one route. Open Vehicle Routing Problem (OVRP): Vehicles are not required to return to the depot. Inventory Routing Problem (IRP): Vehicles...
A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage. In many problems, a...
"Petch, Russel J., and Said Salhi. "A multi-phase constructive heuristic for the vehicle routing problem with multiple trips." Discrete Applied Mathematics...
heuristics are often used within vehicle routing problem heuristics to re-optimize route solutions. The Lin–Kernighan heuristic is a special case of the V-opt or...
along the way to assist network managers in ascertaining per-protocol heuristicrouting information, and can optionally retrieve various information about...
distributed hash tables. The routing algorithm changed significantly in version 0.7. Prior to version 0.7, Freenet used a heuristicrouting algorithm where each...
Arc routing problems (ARP) are a category of general routing problems (GRP), which also includes node routing problems (NRP). The objective in ARPs and...
optimization tasks involving some sort of graph, e.g., vehicle routing and internet routing. As an example, ant colony optimization is a class of optimization...
not be examined. A* uses this heuristic to improve on the behavior relative to Dijkstra's algorithm. When the heuristic evaluates to zero, A* is equivalent...
HeuristicLab is a software environment for heuristic and evolutionary algorithms, developed by members of the Heuristic and Evolutionary Algorithm Laboratory...
Steps 5 and 6 do not necessarily yield only a single result; as such, the heuristic can give several different paths. The worst-case complexity of the algorithm...
Algorithm. As in A* search, bi-directional search can be guided by a heuristic estimate of the remaining distance to the goal (in the forward tree) or...
The contagion heuristic is a psychological heuristic which follows the law of contagion and the law of similarity, leading people to avoid contact with...
with random restart Memetic algorithm Nelder–Mead simplicial heuristic: A popular heuristic for approximate minimization (without calling gradients) Particle...
higher-order function. Using a heuristic, find a solution xh to the optimization problem. Store its value, B = f(xh). (If no heuristic is available, set B to...
such as the heuristic-systematic model of information processing. In the elaboration likelihood model, cognitive processing is the central route and affective/emotion...
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