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Statements

Subject Item
n2:RIV%2F62690094%3A18450%2F09%3A00002508%21RIV10-GA0-18450___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
The paper proposes a particle swarm optimization (PSO) algorithm for solving the basic vehicle routing problem (VRP). A direct route-based representation of VRP is used in the implementation of PSO, i.e. each particle represents a set of feasible routes. After initial routes have been constructed, a modified edge recombination crossover operator is used to move particles towards better solutions. The paper presents early results on application of the proposed PSO algorithm to VRP using benchmark data sets available from the literature. The paper proposes a particle swarm optimization (PSO) algorithm for solving the basic vehicle routing problem (VRP). A direct route-based representation of VRP is used in the implementation of PSO, i.e. each particle represents a set of feasible routes. After initial routes have been constructed, a modified edge recombination crossover operator is used to move particles towards better solutions. The paper presents early results on application of the proposed PSO algorithm to VRP using benchmark data sets available from the literature.
dcterms:title
Particle Swarm Optimization for the Vehicle Routing Problem Particle Swarm Optimization for the Vehicle Routing Problem
skos:prefLabel
Particle Swarm Optimization for the Vehicle Routing Problem Particle Swarm Optimization for the Vehicle Routing Problem
skos:notation
RIV/62690094:18450/09:00002508!RIV10-GA0-18450___
n3:aktivita
n21:P
n3:aktivity
P(GA402/09/0405)
n3:dodaniDat
n10:2010
n3:domaciTvurceVysledku
n12:9266658
n3:druhVysledku
n18:D
n3:duvernostUdaju
n9:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
332763
n3:idVysledku
RIV/62690094:18450/09:00002508
n3:jazykVysledku
n20:eng
n3:klicovaSlova
metaheuristic algorithm; vehicle routing problem; particle swarm optimization; edge recombination crossover operator
n3:klicoveSlovo
n4:metaheuristic%20algorithm n4:particle%20swarm%20optimization n4:vehicle%20routing%20problem n4:edge%20recombination%20crossover%20operator
n3:kontrolniKodProRIV
[11A6B65A0D0A]
n3:mistoKonaniAkce
Kostelec nad Černými lesy
n3:mistoVydani
Praha
n3:nazevZdroje
Mathematical methods in economics 2009 : international scientific conference
n3:obor
n14:BB
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n8:GA402%2F09%2F0405
n3:rokUplatneniVysledku
n10:2009
n3:tvurceVysledku
Ponce, Daniela
n3:typAkce
n19:EUR
n3:wos
000275146900049
n3:zahajeniAkce
2009-09-09+02:00
s:numberOfPages
6
n6:hasPublisher
Česká zemědělská univerzita v Praze
n13:isbn
978-80-213-1963-9
n11:organizacniJednotka
18450