Wszystkie pola: Search Method - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Learning Search Algorithms: An Educational View
Autorzy:: Janota, M.
Šimák, V.
Hrbček, J.
Powiązania:: https://bibliotekanauki.pl/articles/116502.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: Search Algorithm
Learning Search Algorithms
educational view
Artificial Intelligence Method
Search Method
Labyrinth
Dijkstra algorithm
Opis:: Artificial intelligence methods find their practical usage in many applications including maritime industry. The paper concentrates on the methods of uninformed and informed search, potentially usable in solving of complex problems based on the state space representation. The problem of introducing the search algorithms to newcomers has its technical and psychological dimensions. The authors show how it is possible to cope with both of them through design and use of specialized authoring systems. A typical example of searching a path through the maze is used to demonstrate how to test, observe and compare properties of various search strategies. Performance of search methods is evaluated based on the common criteria.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8 no. 4; 565-570
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Derivative free optimal thrust allocation in ship dynamic positioning based on direct search algorithms
Autorzy:: Valčić, M.
Prpić-Oršić, J.
Powiązania:: https://bibliotekanauki.pl/articles/116991.pdf
Data publikacji:: 2020
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: algorithm
dynamic positioning
direct search algorithms
sequential quadratic programing (SQP)
Singular Values Decomposition (SVD)
Lagrangian Multiplier Method (LMM)
Direct Search (DS)
Mesh Adaptive Direct Search (MADS)
Opis:: In dynamic positioning systems, nonlinear cost functions, as well as nonlinear equality and inequality constraints within optimal thrust allocation procedures cannot be handled directly by means of the solvers like industry-standardized quadratic programing (QP), at least not without appropriate linearization technique applied, which can be computationally very expensive. Thus, if optimization requirements are strict, and problem should be solved for nonlinear objective function with nonlinear equality and inequality constraints, than one should use some appropriate nonlinear optimization technique. The current state-of-the-art in nonlinear optimization for gradient-based algorithms is surely the sequential quadratic programing (SQP), both for general applications and specific thrust allocation problems. On the other hand, in recent time, one can also notice the increased applications of gradient-free optimization methods in various engineering problems. In this context, the implementation of selected derivative free direct search algorithms in optimal thrust allocation is proposed and discussed in this paper, and avenues for future research are provided.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 309-314
2083-6473
2083-6481
Pojawia się w:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
Dostawca treści:: Biblioteka Nauki

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