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Computational phylogenetics / Multivariate statistics / Data mining / Sequence alignment / Cluster analysis / Nucleic acid sequence / Pattern recognition / Statistics / Machine learning / Bioinformatics


Multidimensional Sequence Alignment Methods for Activity Pattern Analysis: A comparison of dynamic programming and genetic algorithms Chang-Hyeon Joh, Theo A. Arentze and Harry J.P. Timmermans1
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Document Date: 2012-12-28 04:53:30


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File Size: 114,46 KB

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City

Dublin / genetic algorithms / /

Company

Hanson / Wilson / GA-MDSAM / Urban Planning Group / /

Country

Netherlands / Ireland / /

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Facility

Harry J.P. Timmermans1 Urban Planning Group Eindhoven University of Technology P.O. Box / Mail Station / Eindhoven University of Technology / /

IndustryTerm

non-supervised search strategy / high computing times / genetic algorithm / acceptable computing times / possible solution / genetic algorithms / real time / final solution / heuristic algorithms / travel demand forecasting / solution search space / travel modes / possible solutions / supervised search strategy / optimum solution / genetic operator / search space / signal processing theory / travel demand-forecasting research / search mechanism / /

Organization

Harry J.P. Timmermans1 Urban Planning Group Eindhoven University / European Union / Eindhoven University of Technology / /

Person

Hyeon Joh / Theo A. Arentze / Harry Timmermans / /

Position

professor / researcher / that controls the overall algorithmic flow / /

Technology

genetic algorithms / genetic algorithms Genetic Algorithms / genetic algorithm / Simulation System / simulation / two alternative heuristic algorithms / /

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