diplomska naloga
Matic Baškovč (Avtor), Jana Šelih (Mentor), Primož Banovec (Član komisije za zagovor), Aleksander Srdič (Komentor)

Povzetek

Stroškovna optimizacija trajanja projektov z uporabo genetskih algoritmov

Ključne besede

gradbeništvo;diplomska dela;UNI;projekt;optimizacija;genetski algoritem;stroški;čas;

Podatki

Jezik: Slovenski jezik
Leto izida:
Izvor: Ljubljana
Tipologija: 2.11 - Diplomsko delo
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
Založnik: [M. Baškovč]
UDK: 004:65.012.003(043.2)
COBISS: 4853601 Povezava se bo odprla v novem oknu
Št. ogledov: 2311
Št. prenosov: 501
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Angleški jezik
Sekundarni naslov: Construction project time cost trade off analysis using genetic algorithm
Sekundarni povzetek: When we want to carry out a particular building project, three mutually divergent objectives have to be taken into consideration – quality, costs and time. Quality is determined by the building regulation and is vital in the selection of construction technology. The optimum cost- time ratio and the level of attainment of this goal depend mostly on the organizer’s knowledge, project manager, available technology and the conditions related to the project implementation. The complexity of the structure, large number of the building project’s stakeholders, owner’s growing demands regarding the deadlines require the use of efficient information support and computerized optimization tools. Their aim is to support the decision-making process concerning the project management. However, in order to achieve efficiency, we need to be well acquainted with the issue of cost-duration ratio as much so in relation to the activity itself as to the project as a whole. Only this can lead to obtaining an adequate mathematical model of the project, which is the basis for various optimization methods. The dissertation presents the key parameters for designing such a model as well as the foundations of the optimization method. The method is based on genetic algorithms and is proven to be extremely efficient in solving the multiobjective combinatorial problems of optimization. The presented test example shows the use of different tools based on this method and the analysis of obtained results.
Sekundarne ključne besede: time;optimization;cost;genetic algorithms;
Vrsta datoteke: application/pdf
Vrsta dela (COBISS): Diplomsko delo
Komentar na gradivo: Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Strani: X, 60 str.
Vrsta dela (ePrints): thesis
Naslov (ePrints): Stroškovna optimizacija trajanja projektov z uporabo genetskih algoritmov
Ključne besede (ePrints): gradbeništvo;diplomska dela;UNI;projekt;optimizacija;genetski algoritem;stroški;čas;
Ključne besede (ePrints, sekundarni jezik): time;optimization;cost;genetic algorithms;
Ključne besede (ePrints, sekundarni jezik): time;optimization;cost;genetic algorithms;
ID: 8310514