Evolutionary Algorithms in Transport Planning

Hrabal, Petr

Evolutionary Algorithms in Transport Planning

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Evolutionary Algorithms in Transport Planning

dc.contributor.advisor	Vařacha, Pavel
dc.contributor.author	Hrabal, Petr
dc.date.accessioned	2013-10-13T01:26:37Z
dc.date.available	2013-10-13T01:26:37Z
dc.date.issued	2013-02-22
dc.identifier	Elektronický archiv Knihovny UTB	cs
dc.identifier.uri	http://hdl.handle.net/10563/24836
dc.description.abstract	The thesis deals with the optimization and scheduling problems and does not focus on an arguing about how efficient search algorithms are from economy perspective, but to develop one. The result will be verified the idea of artificial intelligence, actually develop genetic algorithm and apply it on known problems related with this area such as Traveling Salesman Problem. Test the behavior of the genetic algorithm when an input variables are changed in permitted range. All simulations and tests were done by developed application.	cs
dc.format	99	cs
dc.format.extent	13992580 bytes	cs
dc.format.mimetype	application/zip	cs
dc.language.iso	en
dc.publisher	Univerzita Tomáše Bati ve Zlíně
dc.rights	Bez omezení
dc.subject	Artificial Intelligence	cs
dc.subject	Evolutionary Computation	cs
dc.subject	Genetic Algorithm	cs
dc.subject	Traveling Salesman Problem	cs
dc.subject	Vehicle Routing Problem	cs
dc.subject	Theory of Computation	cs
dc.subject	Artificial Intelligence	en
dc.subject	Evolutionary Computation	en
dc.subject	Genetic Algorithm	en
dc.subject	Traveling Salesman Problem	en
dc.subject	Vehicle Routing Problem	en
dc.subject	Theory of Computation	en
dc.title	Evolutionary Algorithms in Transport Planning	cs
dc.title.alternative	Evolutionary Algorithms in Transport Planning	en
dc.type	diplomová práce	cs
dc.contributor.referee	Horák, Tomáš
dc.date.accepted	2013-06-07
dc.description.abstract-translated	The thesis deals with the optimization and scheduling problems and does not focus on an arguing about how efficient search algorithms are from economy perspective, but to develop one. The result will be verified the idea of artificial intelligence, actually develop genetic algorithm and apply it on known problems related with this area such as Traveling Salesman Problem. Test the behavior of the genetic algorithm when an input variables are changed in permitted range. All simulations and tests were done by developed application.	en
dc.description.department	Ústav informatiky a umělé inteligence	cs
dc.description.result	obhájeno	cs
dc.parent.uri	http://hdl.handle.net/10563/154	cs
dc.parent.uri	http://hdl.handle.net/10563/220	cs
dc.thesis.degree-discipline	Informační technologie	cs
dc.thesis.degree-discipline	Information Technologies	en
dc.thesis.degree-grantor	Univerzita Tomáše Bati ve Zlíně. Fakulta aplikované informatiky	cs
dc.thesis.degree-grantor	Tomas Bata University in Zlín. Faculty of Applied Informatics	en
dc.thesis.degree-name	Ing.	cs
dc.thesis.degree-program	Inženýrská informatika	cs
dc.thesis.degree-program	Engineering Informatics	en
dc.identifier.stag	31140
utb.result.grade	B
dc.date.submitted	2013-05-22
local.subject	evoluční algoritmy	cs
local.subject	dopravní data	cs
local.subject	umělá inteligence	cs
local.subject	dopravní logistika	cs
local.subject	evolutionary algorithms	en
local.subject	transportation data	en