Pregled bibliografske jedinice broj: 282940
A comparison of several algorithms for solving dynamic programming problems
A comparison of several algorithms for solving dynamic programming problems // Information and Intelligent Systems ; Conference Proceedings / (ur.). Varaždin : FOI, 2006 / Aurer Boris ; Bača Miroslav (ur.). - Varaždin : FOI , 2006 / Aurer, Boris ; Bača, Miroslav (ur.).
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2006. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), stručni)
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Naslov
A comparison of several algorithms for solving dynamic programming problems
Autori
Čičin-Šain, Marina ; Vukmirović, Slavomir ; Marinović, Marija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni
Izvornik
Information and Intelligent Systems ; Conference Proceedings / (ur.). Varaždin : FOI, 2006 / Aurer Boris ; Bača Miroslav (ur.). - Varaždin : FOI , 2006
/ Aurer, Boris ; Bača, Miroslav - Varaždin : Fakultet organizacije i informatike Sveučilišta u Zagrebu, 2006
Skup
Information and Intelligent Systems 2006
Mjesto i datum
Varaždin, Hrvatska, 20.09.2006. - 22.09.2006
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
the shortest path problem; branch and bound approach; recursive relations; LINGO; Solver
Sažetak
The paper presents solving a shortest path problem using modeling language LINGO 8.0. In solving of the shortest path problem, dynamic programming and branch and bound approach algorithms are used. Recursive relations play an important role within the dynamic programming and according to the recursive relations is solved the problem of a shortest path. It has been shown that the dynamic programming and branch and bound approach differ in the organization of the counting process. In dynamic programming, the process is strictly parallel, while in branch and bound algorithm parallel and sequential organization of counting is implemented. Dynamic programming can be understood as the extreme form of organization in the branch and bound approach. The examples presented in the paper illustrate usage of program languages in designing of flexible optimization models. The hypothesis of paper is that modeling languages support user oriented programs for quantitative analysis where the one base model enables flexible support for different optimimization methods.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA