Combinatorial optimisation algorithms are central to addressing problems in which the goal is to select an optimal solution from a finite set of alternatives. These algorithms have evolved ...

Combinatorial Optimization Algorithms Publication Trend The graph below shows the total number of publications each year in Combinatorial Optimization Algorithms.

Lysa Porth, Jeffrey Pai, Milton Boyd, A Portfolio Optimization Approach Using Combinatorics With a Genetic Algorithm for Developing a Reinsurance Model, The Journal of Risk and Insurance, Vol. 82, No.

Cambridge Quantum reveals new algorithm for solving combinatorial optimization problems with business use-cases.

The emphasis is on the derivation of combinatorial results, including min-max relations, as well as on the corresponding algorithmic questions of how to find such objects. The intended audience ...

Wayne S. Desarbo, Douglas Grisaffe, Combinatorial Optimization Approaches to Constrained Market Segmentation: An Application to Industrial Market Segmentation ...

One must make sure that the optimization algorithms used can reach a good-enough solution in a reasonable time for a realistically large number of ports and vehicles.

The course is intended as an introduction to discrete and combinatorial techniques for solving optimisation problems, mainly involving graphs and networks. Topics covered include: minimum spanning ...

DOE Randomized Algorithms for Combinatorial Scientific ComputingPlease see the full solicitation for complete information about the funding opportunity. Below is a summary assembled by the Research & ...