2 research outputs found

    Efficient Algorithms for Solving Size-Shape-Topology Truss Optimization and Shortest Path Problems

    Get PDF
    Efficient numerical algorithms for solving structural and Shortest Path (SP) problems are proposed and explained in this study. A variant of the Differential Evolution (DE) algorithm for optimal (minimum) design of 2-D and 3-D truss structures is proposed. This proposed DE algorithm can handle size-shape-topology structural optimization. The design variables can be mixed continuous, integer/or discrete values. Constraints are nodal displacement, element stresses and buckling limitations. For dynamic (time dependent) networks, two additional algorithms are also proposed in this study. A heuristic algorithm to find the departure time (at a specified source node) for a given (or specified) arrival time (at a specified destination node) of a given dynamic network. Finally, an efficient bidirectional Dijkstra shortest path (SP) heuristic algorithm is also proposed. Extensive numerical examples have been conducted in this study to validate the effectiveness and the robustness of the proposed three numerical algorithms

    Note on "A new bidirectional algorithm for shortest paths"

    No full text
    In a previous paper "A new bidirectional algorithm for shortest paths" we presented a bidirectional algorithm for finding the shortest path in a network. After the publication we designed an equivalent but shorter description for that algorithm. Due to this new description a considerably simpler proof is enabled. In this Note we discuss the new version with the related proof
    corecore