About: Bayesian Optimization Algorithms for Multi-Objective Optimization

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Cílem článku je ověřt použitelnost Bayesovských optimalizačních algoritmů pro multikriteriální optimalizační úlohy s aproximací Paretovské hranice. Navržený optimalizační algoritmus na bázi binárních rozhodovacích stromů byl testován na bikriteriální úloze o batohu (cs) In recent years, several researchers have concentrated on using probabilistic models in evolutionary algorithms. These Estimation Distribution Algorithms (EDA) incorporate methods for automated learning of correlations between variables of the encoded solutions. The process of sampling new individuals from a probabilistic model respects these mutual dependencies among genes such that disruption of important building blocks is avoided, in comparison with classical recombination operators. The goal of thiis paper is to investigate the usefulness of this concept in multi-objective evolutionary optimization, where the aim is to approximate the set of Pareto-optimal solutions. We integrate the model building and sampling techniques of a special EDA called Bayesian Optimization Algorithm based on binary decision trees into a general evolutionary multi-objective optimizer. A potential performance gain is empirically tested in comparison with other state-of-the-art multi-objective EA on the bi-objective 0/1 k In recent years, several researchers have concentrated on using probabilistic models in evolutionary algorithms. These Estimation Distribution Algorithms (EDA) incorporate methods for automated learning of correlations between variables of the encoded solutions. The process of sampling new individuals from a probabilistic model respects these mutual dependencies among genes such that disruption of important building blocks is avoided, in comparison with classical recombination operators. The goal of thiis paper is to investigate the usefulness of this concept in multi-objective evolutionary optimization, where the aim is to approximate the set of Pareto-optimal solutions. We integrate the model building and sampling techniques of a special EDA called Bayesian Optimization Algorithm based on binary decision trees into a general evolutionary multi-objective optimizer. A potential performance gain is empirically tested in comparison with other state-of-the-art multi-objective EA on the bi-objective 0/1 k (en)
Title	Bayesian Optimization Algorithms for Multi-Objective Optimization Bayesian Optimization Algorithms for Multi-Objective Optimization (en) Bayesovský optimalizační algoritmus pro multikriteriální optimalizaci (cs)
skos:prefLabel	Bayesian Optimization Algorithms for Multi-Objective Optimization Bayesian Optimization Algorithms for Multi-Objective Optimization (en) Bayesovský optimalizační algoritmus pro multikriteriální optimalizaci (cs)
skos:notation	RIV/00216305:26230/02:PU36222!RIV/2005/GA0/262305/N
http://linked.open.../vavai/riv/strany	298-307
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA102/02/0503)
http://linked.open...vai/riv/dodaniDat	2005
http://linked.open...aciTvurceVysledku	Očenášek, Jiří
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	639404
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/02:PU36222
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	probabilistic models,Estimation Distribution Algorithms, multi-objective evolutionary optimization, Pareto-optimal solutions, Bayesian Optimization Algorithm, binary decision trees, knapsack problem. (en)
http://linked.open.../riv/klicoveSlovo	probabilistic models Bayesian Optimization Algorithm Estimation Distribution Algorithms Pareto-optimal solutions binary decision trees knapsack problem. multi-objective evolutionary optimization
http://linked.open...ontrolniKodProRIV	[8BB8315C1053]
http://linked.open...v/mistoKonaniAkce	Granada
http://linked.open...i/riv/mistoVydani	Granada
http://linked.open...i/riv/nazevZdroje	Parallel Problem Solving from Nature - PPSN VII
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Parallel performance prediction and tuning
http://linked.open...UplatneniVysledku	2002
http://linked.open...iv/tvurceVysledku	Očenášek, Jiří
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2002-09-07 (xsd:date)
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	3-540-444139-5
http://localhost/t...ganizacniJednotka	26230

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