About: Scenario optimization     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : dbo:TopicalConcept, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon
http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FScenario_optimization&invfp=IFP_OFF&sas=SAME_AS_OFF

The scenario approach or scenario optimization approach is a technique for obtaining solutions to robust optimization and problems based on a sample of the constraints. It also relates to inductive reasoning in modeling and decision-making. The technique has existed for decades as a heuristic approach and has more recently been given a systematic theoretical foundation.

AttributesValues
rdf:type
rdfs:label
  • Scenario optimization (en)
  • 情境最佳化 (zh)
rdfs:comment
  • 情境最佳化（scenario optimization）也稱為情境方法（scenario approach），是一種求解問題和（chance-constrained optimization）問題的方式，其方法會以一些約束的樣本為基礎。情境最佳化也和建模及決策中的归纳推理有關。此方法已以启发法的形式存在了數十年，近來開始探討此方法系統化理論的基礎。 (zh)
  • The scenario approach or scenario optimization approach is a technique for obtaining solutions to robust optimization and problems based on a sample of the constraints. It also relates to inductive reasoning in modeling and decision-making. The technique has existed for decades as a heuristic approach and has more recently been given a systematic theoretical foundation. (en)
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
sameAs
dbp:wikiPageUsesTemplate
has abstract
  • The scenario approach or scenario optimization approach is a technique for obtaining solutions to robust optimization and problems based on a sample of the constraints. It also relates to inductive reasoning in modeling and decision-making. The technique has existed for decades as a heuristic approach and has more recently been given a systematic theoretical foundation. In optimization, robustness features translate into constraints that are parameterized by the uncertain elements of the problem. In the scenario method, a solution is obtained by only looking at a random sample of constraints (heuristic approach) called scenarios and a deeply-grounded theory tells the user how “robust” the corresponding solution is related to other constraints. This theory justifies the use of randomization in robust and chance-constrained optimization. (en)
  • 情境最佳化（scenario optimization）也稱為情境方法（scenario approach），是一種求解問題和（chance-constrained optimization）問題的方式，其方法會以一些約束的樣本為基礎。情境最佳化也和建模及決策中的归纳推理有關。此方法已以启发法的形式存在了數十年，近來開始探討此方法系統化理論的基礎。 (zh)
gold:hypernym
prov:wasDerivedFrom
page length (characters) of wiki page
foaf:isPrimaryTopicOf
is Link from a Wikipage to another Wikipage of
is Wikipage redirect of
is Wikipage disambiguates of
is known for of
is foaf:primaryTopic of
Faceted Search & Find service v1.17_git139 as of Feb 29 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 50 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software