Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space

Tutkielma esittää klusteripohjaisen sijaismallin diskreetin päätöksentekoavaruuden dimension pienentämiseksi ja lineaaristen kokonaislukuoptimointitehtävien yksinkertaistamiseksi. Sijaismalli on suunnattu erityisesti datapohjaisten päätöksenteko-ongelmien interaktiiviseen ratkaisemiseen, sillä se...

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Main Author: Malmberg, Jose
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Master's thesis
Language:eng
Published: 2018
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/58531
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author Malmberg, Jose
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Malmberg, Jose Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Malmberg, Jose Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Malmberg, Jose
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description Tutkielma esittää klusteripohjaisen sijaismallin diskreetin päätöksentekoavaruuden dimension pienentämiseksi ja lineaaristen kokonaislukuoptimointitehtävien yksinkertaistamiseksi. Sijaismalli on suunnattu erityisesti datapohjaisten päätöksenteko-ongelmien interaktiiviseen ratkaisemiseen, sillä se yhdistää sijaismallin interaktiota helpottavan vaikutuksen ja interaktiivisen NIMBUS menetelmän hyvän suorituskyvyn sijaismallin tuloavaruudessa. Kehitettyä sijaismallia ja metodia myös sovellettiin monitavoitteiseen metsätalousongelmaan hyvin tuloksin. This thesis presents a cluster based surrogate model approach for reducing dimension of discrete decision space and so for simplifying integer linear optimization problems. The model is especially aimed for solving data-driven decision making problems interactively, as the surrogate makes interaction more seamless and the interactive NIMBUS method manages well within the product space of the surrogate. The developed cluster based surrogate and method were also applied for a Boreal Forest management problem with promising results.
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spellingShingle Malmberg, Jose Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space surrogate metamodel clustering cluster based synchronous NIMBUS multiobjective decision making interactive optimization sijaismalli metamalli surrogaatti klusterointi klusteripohjainen synkroninen NIMBUS monitavoitteinen päätöksenteko interaktiivinen päätöksenteko optimointi Tietotekniikka Mathematical Information Technology 602 monitavoiteoptimointi matemaattinen optimointi multi-objective optimisation optimisation mathematical optimisation
title Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
title_full Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
title_fullStr Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
title_full_unstemmed Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
title_short Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
title_sort data driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
title_txtP Data-driven interactive multiobjective optimization using cluster based surrogate in discrete decision space
topic surrogate metamodel clustering cluster based synchronous NIMBUS multiobjective decision making interactive optimization sijaismalli metamalli surrogaatti klusterointi klusteripohjainen synkroninen NIMBUS monitavoitteinen päätöksenteko interaktiivinen päätöksenteko optimointi Tietotekniikka Mathematical Information Technology 602 monitavoiteoptimointi matemaattinen optimointi multi-objective optimisation optimisation mathematical optimisation
topic_facet 602 Mathematical Information Technology Tietotekniikka cluster based clustering interactive optimization interaktiivinen päätöksenteko klusteripohjainen klusterointi matemaattinen optimointi mathematical optimisation metamalli metamodel monitavoiteoptimointi monitavoitteinen päätöksenteko multi-objective optimisation multiobjective decision making optimisation optimointi sijaismalli surrogaatti surrogate synchronous NIMBUS synkroninen NIMBUS
url https://jyx.jyu.fi/handle/123456789/58531 http://www.urn.fi/URN:NBN:fi:jyu-201806133178
work_keys_str_mv AT malmbergjose datadriveninteractivemultiobjectiveoptimizationusingclusterbasedsurrogateindiscrete