Adaptive Search Region Methods with Derivative Information in Computer Experiment

碩士 === 國立高雄大學 === 統計學研究所 === 97 === Adaptive Search Region Method (ASRM), proposed by Lai (2008), is a surrogateassisted method for searching all local extremes of a response function in a bounded experimental region. In this work, besides common assumptions for response function in computer experim...

Full description

Bibliographic Details
Main Authors: Hui-Chan Chien, 簡暉展
Other Authors: Ray-Bing Chen
Format: Others
Language:en_US
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/dd46hp
id ndltd-TW-097NUK05337009
record_format oai_dc
spelling ndltd-TW-097NUK053370092019-05-15T19:28:16Z http://ndltd.ncl.edu.tw/handle/dd46hp Adaptive Search Region Methods with Derivative Information in Computer Experiment 在電腦實驗上加入微分資訊的自適搜尋區域法 Hui-Chan Chien 簡暉展 碩士 國立高雄大學 統計學研究所 97 Adaptive Search Region Method (ASRM), proposed by Lai (2008), is a surrogateassisted method for searching all local extremes of a response function in a bounded experimental region. In this work, besides common assumptions for response function in computer experiments, we assume that the derivative information is also available. Thus a modified ASRM is proposed by cooperating the derivative information into surrogate construction and extreme point search. Several numerical experiments with different dimensionalities are used to show the efficiency of this new method. Ray-Bing Chen 陳瑞彬 2009 學位論文 ; thesis 44 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立高雄大學 === 統計學研究所 === 97 === Adaptive Search Region Method (ASRM), proposed by Lai (2008), is a surrogateassisted method for searching all local extremes of a response function in a bounded experimental region. In this work, besides common assumptions for response function in computer experiments, we assume that the derivative information is also available. Thus a modified ASRM is proposed by cooperating the derivative information into surrogate construction and extreme point search. Several numerical experiments with different dimensionalities are used to show the efficiency of this new method.
author2 Ray-Bing Chen
author_facet Ray-Bing Chen
Hui-Chan Chien
簡暉展
author Hui-Chan Chien
簡暉展
spellingShingle Hui-Chan Chien
簡暉展
Adaptive Search Region Methods with Derivative Information in Computer Experiment
author_sort Hui-Chan Chien
title Adaptive Search Region Methods with Derivative Information in Computer Experiment
title_short Adaptive Search Region Methods with Derivative Information in Computer Experiment
title_full Adaptive Search Region Methods with Derivative Information in Computer Experiment
title_fullStr Adaptive Search Region Methods with Derivative Information in Computer Experiment
title_full_unstemmed Adaptive Search Region Methods with Derivative Information in Computer Experiment
title_sort adaptive search region methods with derivative information in computer experiment
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/dd46hp
work_keys_str_mv AT huichanchien adaptivesearchregionmethodswithderivativeinformationincomputerexperiment
AT jiǎnhuīzhǎn adaptivesearchregionmethodswithderivativeinformationincomputerexperiment
AT huichanchien zàidiànnǎoshíyànshàngjiārùwēifēnzīxùndezìshìsōuxúnqūyùfǎ
AT jiǎnhuīzhǎn zàidiànnǎoshíyànshàngjiārùwēifēnzīxùndezìshìsōuxúnqūyùfǎ
_version_ 1719090493636214784