Constrained Shortest Path First (CSPF) is an extension of shortest path algorithms. The path computed using CSPF is a shortest path fulfilling a set of...

In graph theory, the shortest path problem is the problem of finding a path between two vertices (or nodes) in a graph such that the sum of the weights...

The paths an LSR knows can be defined using explicit hop-by-hop configuration, or are dynamically routed by the Constrained Shortest Path First (CSPF)...

k shortest path routing problem is a generalization of the shortest path routing problem in a given network. It asks not only about a shortest path but...

the velocity v k {\displaystyle {\boldsymbol {v}}_{k}} along a geodesic path in the parameter space, it is possible to improve the method by adding a...

perhaps for the first time. In 1959, Jillian Beardwood, J.H. Halton, and John Hammersley published an article entitled "The Shortest Path Through Many Points"...

optimal arguments from a continuous set must be found. They can include constrained problems and multimodal problems. An optimization problem can be represented...

} ) and replacing variables that are not sign-constrained with the difference of two sign-constrained variables. The plot on the right shows the following...

"worse" than -20 which is to be expected for a problem which is more constrained. The tableau form used above to describe the algorithm lends itself to...

along the fixed path are in use, future connection requests will be blocked even though other paths may exist. The SP-1 (Shortest Path, 1 Probe) algorithm...

checker that could start at any square on the first rank (i.e., row) and you wanted to know the shortest path (the sum of the minimum costs at each visited...

optimization problems that are covered by this framework are shortest paths and shortest-path trees, flows and circulations, spanning trees, matching, and...

for the path-following method is O(mn2), and the total runtime complexity is O(m3/2 n2).[clarification needed] Given a quadratically constrained quadratic...

In mathematical optimization, constrained optimization (in some contexts called constraint optimization) is the process of optimizing an objective function...

(2021). "Comparison of metaheuristic optimization algorithms for solving constrained mechanical design optimization problems". Expert Systems with Applications...

related problem is posed by Fermat's principle: light follows the path of shortest optical length connecting two points, which depends upon the material...

and p be positive integers. Let X be a subset of Rn (usually a box-constrained one), let f, gi, and hj be real-valued functions on X for each i in {1...

Iterative deepening A* (IDA*) is a graph traversal and path search algorithm that can find the shortest path between a designated start node and any member of...

needs to be converted into the problem of finding the shortest path on a weighted graph. In the first step of each iteration, each ant stochastically constructs...

as average shortest path length). Purely random graphs, built according to the Erdős–Rényi (ER) model, exhibit a small average shortest path length (varying...

Sequential quadratic programming (SQP) is an iterative method for constrained nonlinear optimization, also known as Lagrange-Newton method. SQP methods...

combinatorial optimization problems can be modeled as integer programs (e.g. shortest path) or constraint programs, any constraint program can be formulated as...

available, the algorithm degenerates to an exhaustive search. The method was first proposed by Ailsa Land and Alison Doig whilst carrying out research at the...

can happen over a basic block of code: it is said to be "local", and was first mentioned by Horwitz et al. As basic blocks do not contain branches, the...

methods, at some cost in accuracy. A first-order method is implemented in the Splitting Cone Solver (SCS). Another first-order method is the alternating direction...

positions (solutions) good or bad. The employed bee would search for the shortest route to each position to extract the food amount (quality) of the source...

other famous combinatorial optimization problems: the (non-negative) shortest path problem and the minimum spanning tree problem. If a Steiner tree problem...

-ˈdiːsɪk, -zɪk/) is a curve representing in some sense the locally shortest path (arc) between two points in a surface, or more generally in a Riemannian...

certain class of algorithms for solving constrained optimization problems. A penalty method replaces a constrained optimization problem by a series of unconstrained...

Central Science, Volume 4, Issue 2, 268-276 (2018) Griffiths et al. Constrained Bayesian Optimization for Automatic Chemical Design using Variational...