The study analyses various methods to solve multiple criteria optimization problems of different kinds and defines principles of parallel computing. A multiple criteria optimization problem has been solved applying a computer network and a new strategy that analyses and uses intermediate results in the calculation process has been suggested. The optimization problem has been solved applying a computer network and parallel computing software MPI (Message Passage Interface). Numerous experimental trials have been carried out to investigate efficiency of the designed strategy in the solution of multiple criteria optimization problems. A computer network with different number of computers solved a single problem of different duration and final results of various strategies have been compared. The experiments have proved the designed strategy to be more precise in results and more economical in computing time.
| Identifer | oai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2004~D_20040611_155428-81819 |
| Date | 11 June 2004 |
| Creators | Nenėnaitė, Rita |
| Contributors | Dzemyda, Gintautas, Leonavičius, Gražvydas, Kazlauskas, Kazys, Petkus, Tomas, Šaltenis, Vydūnas, Lipeikienė, Joana, Vilnius Pedagogical University |
| Publisher | Lithuanian Academic Libraries Network (LABT), Vilnius Pedagogical University |
| Source Sets | Lithuanian ETD submission system |
| Language | Lithuanian |
| Detected Language | English |
| Type | Master thesis |
| Format | application/pdf |
| Source | http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2004~D_20040611_155428-81819 |
| Rights | Unrestricted |
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