Publikace detail

Using Hill-climber algorithm for interpretation of Regional Data

Autoři: Šimonová Stanislava | Panuš Jan

Rok: 2005

Druh publikace: článek v odborném periodiku

Název zdroje: WSEAS Transactions on Information Science and Applications

Název nakladatele: WSEAS Press

Místo vydání: Atény

Strana od-do: 278

Tituly:

Jazyk	Název	Abstrakt	Klíčová slova
cze	Využití horolezeckého algoritmu pro interpetaci regionálních dat	V článku je popsána metoda horolezeckého algoritmu a jeho využití pro výpočet dat, které se dají využít pro regionální analýzu.	Optimalizační metody, horolezecký algoritmus
eng	Using Hill-climber algorithm for interpretation of Regional Data	Some of the traditional problem-solving strategies guarantee finding the global solution, others don´t, but they all share a common pattern. Either they guarantee discovering the global solution, but are too expensive (time consuming) for solving typical real-world problems, or else they have a tendency of getting stuck in local optima. We have one possibility with procedure called an iterated hill-climber. After reaching a local optimum, a new starting point is generated and the search is commenced all over again. One of the two approaches how to solve these problems is called simulated annealing. We discuss it in this paper. The modernizing Government agenda is accelerating, with the emphasis on the local delivery of improved public service. Thus, to get a quality answer to a strategic enquiry, the special methods are necessary; when a simulated annealing method seems to be suitable.	Global optimization, Hill-climber algorithm, Regional Data Source

Search