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521 |
Michael Affenzeller, Stefan Wagner, Stephan Winkler and Andreas Beham: Genetic algorithms and genetic programming modern concepts and practical applications
Enthalten in Genetic programming and evolvable machines Bd. 11, 25.11.2009, Nr. 1, date:3.2010: 123-125
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522 |
Mining exceptional relationships with grammar-guided genetic programming
Enthalten in Knowledge and information systems Bd. 47, 16.7.2015, Nr. 3, date:6.2016: 571-594
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523 |
Modeling of Arsenic (III) Removal by Evolutionary Genetic Programming and Least Square Support Vector Machine Models
Enthalten in Environmental processes Bd. 2, 18.12.2014, Nr. 1, date:3.2015: 145-172
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524 |
Modeling of constructed wetland performance in BOD5 removal for domestic wastewater under changes in relative humidity using genetic programming
Enthalten in Environmental monitoring and assessment Bd. 189, 15.3.2017, Nr. 4, date:4.2017: 1-10
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525 |
Modeling the mechanical properties of rubberized concretes by neural network and genetic programming
Enthalten in Materials and structures Bd. 43, 14.1.2009, Nr. 1-2, date:1.2010: 31-45
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526 |
Modeling Torsional Strength of Reinforced Concrete Beams using Genetic Programming Polynomials with Building Codes
Enthalten in Taehan-t'omok-hakhoe: KSCE journal of civil engineering Bd. 23, 27.6.2019, Nr. 8, date:8.2019: 3464-3475
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527 |
Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach
Enthalten in Journal of earth system science Bd. 126, 18.2.2017, Nr. 2, date:3.2017: 1-13
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528 |
Motif kernel generated by genetic programming improves remote homology and fold detection
Enthalten in BMC bioinformatics Bd. 8, 25.1.2007, Nr. 1, date:12.2007: 1-16
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529 |
Multi-denoising based impulse noise removal from images using robust statistical features and genetic programming
Enthalten in Multimedia tools and applications Bd. 75, 30.4.2015, Nr. 10, date:5.2016: 5887-5916
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530 |
Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data
Enthalten in Journal of intelligent manufacturing Bd. 28, 25.9.2014, Nr. 1, date:1.2017: 149-163
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