About: Feasibility Study of Optimization of a Genetic Algorithm for Traffic Network Division for Distributed Road Traffic Simulation     Goto   Sponge   NotDistinct   Permalink

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  • This paper deals with optimization of a genetic algorithm for road traffic network division for distributed road traffic simulation, which we developed. Two approaches for finding of optimal setting of the genetic algorithm are considered ? an optimizing genetic algorithm and a systematic testing of possible settings. Since both approaches are expected to be extremely computation-consuming, their distributed versions are proposed and a feasibility study is evaluated.
  • This paper deals with optimization of a genetic algorithm for road traffic network division for distributed road traffic simulation, which we developed. Two approaches for finding of optimal setting of the genetic algorithm are considered ? an optimizing genetic algorithm and a systematic testing of possible settings. Since both approaches are expected to be extremely computation-consuming, their distributed versions are proposed and a feasibility study is evaluated. (en)
Title
  • Feasibility Study of Optimization of a Genetic Algorithm for Traffic Network Division for Distributed Road Traffic Simulation
  • Feasibility Study of Optimization of a Genetic Algorithm for Traffic Network Division for Distributed Road Traffic Simulation (en)
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  • Feasibility Study of Optimization of a Genetic Algorithm for Traffic Network Division for Distributed Road Traffic Simulation
  • Feasibility Study of Optimization of a Genetic Algorithm for Traffic Network Division for Distributed Road Traffic Simulation (en)
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  • RIV/49777513:23520/13:43919704!RIV14-MSM-23520___
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  • 74794
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  • RIV/49777513:23520/13:43919704
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  • traffic network division; optimization; genetic algorithm (en)
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  • 6th International Conference on Human System Interaction HSI 2013
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  • Potužák, Tomáš
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  • IEEE
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  • 978-1-4673-5637-4
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  • 23520
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