Co-Investigators:
Annotation:
The development of transport infrastructure is crucial in many economic and social aspects of a given territory (level of mobility, international competitiveness, living standards of the population, safety and reduction of negative environmental impacts). The development of transport infrastructure is carried out in the Czech Republic through the implementation of investment projects and is financed from national and supranational sources. The largest volume of financial resources for financing the development of transport infrastructure in the Czech Republic is represented by the Operational Programme Transport (OPT), which is always implemented in a seven-year programming period (currently OPT3, i.e. OPT 2021-2027). Although OPT is the most important for the Czech Republic in terms of the volume of financial resources, it is not sufficient in terms of the amount of available financial resources to implement all investment projects in a given financing period (programming period). For this reason, only some projects are selected for implementation. The current project selection system is based on the decision of a group of experts. However, this form of project portfolio selection has significant drawbacks, especially in terms of the quality of the task. The problem can be formulated as an optimization problem of selecting investment projects for financing. Another potential extension of the problem is the incorporation of the project financing schedule in each year of the programming period and the effective allocation of funds in each year of the programming period. Due to the computational complexity of the problem with a large number of variables and a large number of constraints, the The project aims at the application of genetic algorithms to the complex issue of portfolio selection, project scheduling and allocation of available funds in individual years of the OPT programming period. It follows the project SGS22/126/OHK2/2T/16, where the problem of projec
Department:
Year:
2024 - 2024
Program:
Studentská grantová soutěž ČVUT - SGS24/069/OHK2/1T/16