Temat: Pareto optimization - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Graph Theory Approach to Transportation Systems Design and Optimization
Autorzy:: Guze, S.
Powiązania:: https://bibliotekanauki.pl/articles/117201.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: graph theory
Transportation System
Transportation System Design
Transportation Systems Optimization
SPEA Algorithm
Pareto optimal
Multicriteria Optimisation
optimization
Opis:: The main aim of the paper is to present graph theory parameters and algorithms as tool to analyze and to optimise transportation systems. To realize these goals the 0-1 knapsack problem solution by SPEA algorithm, methods and procedures for finding the minimal spanning tree in graphs and digraphs, domination parameters problems accurate to analyse the transportation systems are introduced and described. Possibility of application of graph theory algorithms and parameters to analyze exemplary transportation system are shown.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2014, 8 no. 4; 572-578
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:: Compromise of two-criteria final payoff of the game ship control in collision situations
Autorzy:: Lisowski, J.
Powiązania:: https://bibliotekanauki.pl/articles/1841477.pdf
Data publikacji:: 2021
Wydawca:: Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
Tematy:: collision situation
pareto optimal
multi-criteria static optimization
bentham's utilitarian rule
Salukvadze's Benchmark
benson's weighted sums
haimes's constraints
Opis:: The essence of the article is the use of multi-criteria static optimization of object motion, based on a set of optimal Pareto points in the space of possible variants of solutions for a new approach to the problem as a game control. Using the example of the two-criteria optimization of the final payoff of the object game control during the safe evasion of the encountered objects, six methods of multi-criteria static optimization are presented—Bentham's utilitarian rule, Rawls's principle of justice, Salukvadze's benchmark, Benson's weighted sums, Haimes's constraints, and goal-oriented programming. In the end, the results obtained by the two-criteria optimization are compared with regard to the values of the components of the final game payoff—the risk of collision and the deviation of the object from the safe route of the set trajectory of movement. The directions for the development of multi-criteria optimization methods, both static and dynamic, and the game are indicated.
Źródło:: TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2021, 15, 2; 455-461
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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