Project Coordinator: Dr. Eng. Radu Marius BONCEA – Scientific Researcher III
Overall objectives of the project
- elaboration of new optimization algorithms without restrictions, efficient and robust, based on quasi-Newton methods scaled BFGS or modified scaled BFGS with applications;
- elaboration of a study on new trends in decision and multi-criteria analysis with application in the selection of cloud service providers;
- development of models, algorithms and software for the problem of optimal selection of cloud service providers according to user requirements; validation through case studies;
- development of software interfaces with specialized solvers for specific models;
- selection of cloud service providers, taking into account criteria with environmental impact and traditional criteria, through multi-attribute decision methods;
- identification of a key properties of graphs that can be used in the design of algorithms on graphs (exact or approximate); exploitation of these properties for the design of new exact or approximate algorithms that solve, in theory and in practice, fundamental problems in the theory of graphs with real applications (calculation of the diameter of a graph, finding a maximum coupling, etc.);
- implementation and testing of algorithms on a relevant data sets, comparison of results with state-of-the-art algorithms;
- investigation of the comparative numerical behavior of some variants of the Newton method for linear-quadratic optimization;
- using a technique that exploits the anti-Hamiltonian / Hamiltonian structure to initialize the optimization algorithm.
Results
- study on new trends in modeling and optimization of complex systems;
- models, algorithms and software for complex systems with applications in industry, business and cloud computing;
- methods, optimization models usable in an industrial context;
- multi-criteria decision methods, algorithms with applications in cloud computing and business;
- algorithms for NP-hard graph theory problems with real applications.