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Simulated Annealing Method for Regional Analysis
Rok: 2005
Druh publikace: článek ve sborníku
Název zdroje: WSEAS Applied Informatics and Communications
Název nakladatele: WSEAS Press
Místo vydání: Atény
Strana od-do: 347
Tituly:
Jazyk Název Abstrakt Klíčová slova
cze Simulated Annealing Method for Regional Analysis Mathematical optimization is the formal title given to the branch of computational science that seeks to answer the question ?What is best?? for problems in which the quality of any answer can be expressed as a numerical value. Such problems arise in all areas of mathematics, the physical, chemical and biological sciences, engineering, architecture, economics, and management, and the range of techniques available to solve them is nearly as wide. Such problems arise also in the information sources of local authorities. 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. Simulované žíhání, optimalizace
eng Simulated Annealing Method for Regional Analysis Mathematical optimization is the formal title given to the branch of computational science that seeks to answer the question ?What is best?? for problems in which the quality of any answer can be expressed as a numerical value. Such problems arise in all areas of mathematics, the physical, chemical and biological sciences, engineering, architecture, economics, and management, and the range of techniques available to solve them is nearly as wide. Such problems arise also in the information sources of local authorities. 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. Simulated Annealing Method, Optimization ? Global Optimization, Regional Data Sources, Strategic Questions

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