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IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION 1 Reusing Building Blocks of Extracted Knowledge to Solve Complex, Large-Scale Boolean Problems
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Document Date: 2013-06-23 23:44:56

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City

OPULATION / Wellington / /

Company

Evolutionary Computation Research Group / Wilson / NOR / Learning Classifier Systems / AND / GP Systems / NAND / /

Country

New Zealand / /

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Facility

building Manuscript / Solve Complex / Victoria University of Wellington / Building Blocks / /

IndustryTerm

online reinforcement learning system / population-based computing paradigm / increased search space / online learning system / large search space demanding large memory / genetic algorithm / lower level solutions / supervised learning batch processing approach / large search space leading / classifier systems / evolutionary computing / potential solution / final solution / potential problem solution / online nature / online appendix / suitable machine learning algorithm / compact solutions / partial solutions / search space / learning algorithm / namely genetic algorithms / /

OperatingSystem

L3 / /

Organization

Victoria University of Wellington / School of Engineering and Computer Science / /

Position

interested researcher / co-operative / /

ProgrammingLanguage

C / /

ProvinceOrState

Georgia / optimized using the GA / /

PublishedMedium

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION / /

Technology

learning algorithm / namely genetic algorithms / suitable machine learning algorithm / genetic algorithm / machine learning / genotype / /

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