Nowadays most data networks use shortest path protocols such as OSPF or IS-IS to route traffic. Given administrative routing lengths for the links of a network, all data packets are sent along shortest paths with respect to these lengths from their source to their destination. One of the most fundamental problems in planning shortest path networks is to decide whether a given set of routing pat...

In this paper, a fast path planning method by optimization of a path graph for both efficiency and accuracy is proposed. A conventional quadtree-based path planning approach is simple, robust, and efficient. However, it has two limitations. The first limitation is that many small cells are required to represent obstacles because the positions and shapes of the cells are not object-dependent and...

In this paper the Differential Evolution algorithm is deployed to the robotic path planning optimization problem for autonomous mobile vehicles. At this stage, the simulations consider the robot world with level surfaces and static obstacles , in which the optimization is performed off-line. The global objective is to evaluate the differential evolutionary algorithm in solving path planning pro...

Nowadays most data networks use shortest path protocols such as OSPF or IS-IS to route traffic. Given administrative routing lengths for the links of a network, all data packets are sent along shortest paths with respect to these lengths from their source to their destination. One of the most fundamental problems in planning shortest path networks is to decide whether a given set of routing pat...

The objective often explored in Web-based route planners is to find an optimal route in a network for a given mode of transport. Usually this involves searching for the cheapest route corresponding to some cost function. For many types of trips, not all desired route properties can be satisfied in this way. Following is a proposed solution for planning hiking trips. The method can easily be tra...

The shortest path problem is one of the most important operation planning in traffic navigation system. To the view of optimization, proposed the hybrid genetic algorithm of combining general genetic algorithm and pattern search method.Use simulation examples to verify the feasibility and effectiveness of the new method, experimental results show that the standard deviation is smaller, the pr-e...

For decision-theoretic planning problems with an indefinite horizon, plan execution terminates after a finite number of steps with probability one, but the number of steps until termination (i.e., the horizon) is uncertain and unbounded. In the traditional approach to modeling such problems, called a stochastic shortest-path problem, plan execution terminates when a particular state is reached,...