About: Self-adaptive Genetic Algorithm for Solving Travelling Purchaser Problem

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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	The aim of this paper is presentation of encoding for self-adaptation of genetic algorithms which is suitable for travelling purchaser problem. Comparing to previous approaches here is designed the encoding for self-adaptation not only one parameter or several ones but for all possible parameters of genetic algorithms at the same time. The proposed self-adaptive genetic algorithm is then applied for solving various instances of travelling purchaser problem and compared with a standard genetic algorithm. The main advantage of this approach is that it makes possible to solve wide range of combinatorial problems without setting parameters for each type of problem in advance. The aim of this paper is presentation of encoding for self-adaptation of genetic algorithms which is suitable for travelling purchaser problem. Comparing to previous approaches here is designed the encoding for self-adaptation not only one parameter or several ones but for all possible parameters of genetic algorithms at the same time. The proposed self-adaptive genetic algorithm is then applied for solving various instances of travelling purchaser problem and compared with a standard genetic algorithm. The main advantage of this approach is that it makes possible to solve wide range of combinatorial problems without setting parameters for each type of problem in advance. (en)
Title	Self-adaptive Genetic Algorithm for Solving Travelling Purchaser Problem Self-adaptive Genetic Algorithm for Solving Travelling Purchaser Problem (en)
skos:prefLabel	Self-adaptive Genetic Algorithm for Solving Travelling Purchaser Problem Self-adaptive Genetic Algorithm for Solving Travelling Purchaser Problem (en)
skos:notation	RIV/47813059:19520/11:#0002136!RIV13-GA0-19520___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA402/09/0405)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Perzina, Radomír
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	Slezská univerzita v Opavě / Obchodně podnikatelská fakulta v Karviné
http://linked.open...dnocenehoVysledku	228710
http://linked.open...ai/riv/idVysledku	RIV/47813059:19520/11:#0002136
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Genetic Algorithms, Travelling Purchaser Problem, Travelling Salesman Problem, Self-adaptation, Combinatorial Optimization (en)
http://linked.open.../riv/klicoveSlovo	Combinatorial Optimization Genetic Algorithms Travelling Salesman Problem Self-adaptation Travelling Purchaser Problem
http://linked.open...ontrolniKodProRIV	[B643CA188266]
http://linked.open...v/mistoKonaniAkce	Jánská Dolina, SR
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	PROCEEDINGS OF THE 29TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS 2011, PTS I AND II
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Development of Non-standard Optimization Methods and their Applications in Economy and Management
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Perzina, Radomír
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open...ain/vavai/riv/wos	000309074600090
http://linked.open.../riv/zahajeniAkce	2011-01-01 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	PROFESSIONAL PUBLISHING
https://schema.org/isbn	978-80-7431-058-4
http://localhost/t...ganizacniJednotka	19520

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