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Description
  • Several algorithms for solving of many optimization problems are based on study of biological systems behaviour in nature. Ants, bees, birds, fishes or bacteria do not have any central control of the individual behaviour. Behaviour typical for whole colony follows from interaction between individuals and between individual and environment. Algorithms for swarm-based optimization are based on colony behaviour and are used for difficult optimization problems. These algorithms can be successfully used for many well-known optimization problems like travelling salesman problem and vehicle routing problem. They are relatively fast and we get results of high quality.
  • Several algorithms for solving of many optimization problems are based on study of biological systems behaviour in nature. Ants, bees, birds, fishes or bacteria do not have any central control of the individual behaviour. Behaviour typical for whole colony follows from interaction between individuals and between individual and environment. Algorithms for swarm-based optimization are based on colony behaviour and are used for difficult optimization problems. These algorithms can be successfully used for many well-known optimization problems like travelling salesman problem and vehicle routing problem. They are relatively fast and we get results of high quality. (en)
  • Článek obsahuje popis různých modifikací problému okružních jízd. Druhá část je zaměřena na algoritmy rojové inteligence, např. včelí algoritmus, optimalizaci pomocí mravenčí kolonie apod. (cs)
Title
  • Utilization of Swarm-Based Optimization Algorithms in Logistics
  • Využití algoritmů rojové inteligence v logistice (cs)
  • Utilization of Swarm-Based Optimization Algorithms in Logistics (en)
skos:prefLabel
  • Utilization of Swarm-Based Optimization Algorithms in Logistics
  • Využití algoritmů rojové inteligence v logistice (cs)
  • Utilization of Swarm-Based Optimization Algorithms in Logistics (en)
skos:notation
  • RIV/00216305:26210/07:PU67970!RIV08-MSM-26210___
http://linked.open.../vavai/riv/strany
  • 124-129
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  • S
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  • 457163
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  • RIV/00216305:26210/07:PU67970
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  • Vehicle Routing Problem, Time Windows, Swarm-Based Optimization (en)
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http://linked.open...ontrolniKodProRIV
  • [0ED1D8C279DC]
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  • Zlín
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  • Zlín
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  • TD 2007 - Diagon 2007
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  • Raudenská, Lenka
  • Fišerová, Lucie
  • Hývlová, Pavlína
  • Laštovičková, Dagmar
http://linked.open...vavai/riv/typAkce
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number of pages
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  • Univerzita Tomáše Bati ve Zlíně. Academia centrum
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  • 978-80-7318-570-1
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  • 26210
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