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Ergebnis der Suche nach: tit all "Genetic Programming"
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Artikel 431 Optimal operation of Mula reservoir with combined use of dynamic programming and genetic algorithm
Enthalten in Sustainable Water Resources Management Bd. 2, 20.11.2015, Nr. 1, date:3.2016: 1-12 		Online Ressource
Artikel 432 Optimisation of contribution of candidate parents to maximise genetic gain and restricting inbreeding using semidefinite programming (Open Access publication)
Enthalten in Genetics, selection, evolution Bd. 39, 11.1.2007, Nr. 1, date:2.2007: 1-23 		Online Ressource
Artikel 433 Optimization of a multiple reservoir system operation using a combination of genetic algorithm and discrete differential dynamic programming: a case study in Mae Klong system, Thailand
Enthalten in Paddy and water environment Bd. 3, 12.2.2005, Nr. 1, date:3.2005: 29-38 		Online Ressource
Artikel 434 Optimizationof neural network architecture using genetic programming improvesdetection and modeling of gene-gene interactions in studies of humandiseases
Enthalten in BMC bioinformatics Bd. 4, 07.7.2003, Nr. 1, date:12.2003: 1-14 		Online Ressource
Artikel 435 Optimized injection-molding process for thin-walled polypropylene part using genetic programming and interior point solver
Enthalten in The international journal of advanced manufacturing technology Bd. 124, 23.11.2022, Nr. 1-2, date:1.2023: 297-313 		Online Ressource
Artikel 436 Optimizing agents with genetic programming: an evaluation of hyper-heuristics in dynamic real-time logistics
Enthalten in Genetic programming and evolvable machines Bd. 19, 6.4.2017, Nr. 1-2, date:6.2018: 93-120 		Online Ressource
Artikel 437 Parallel evolution using multi-chromosome cartesian genetic programming
Enthalten in Genetic programming and evolvable machines Bd. 10, 20.10.2009, Nr. 4, date:12.2009: 417-445 		Online Ressource
Artikel 438 Pareto Optimal Multigene Genetic Programming for Prediction of Longitudinal Dispersion Coefficient
Enthalten in Water resources management Bd. 33, 24.1.2019, Nr. 3, date:2.2019: 905-921 		Online Ressource
Artikel 439 Performance assessment of genetic programming (GP) and minimax probability machine regression (MPMR) for prediction of seismic ultrasonic attenuation
Enthalten in Earthquake science Bd. 26, 30.10.2013, Nr. 2, date:4.2013: 147-150 		Online Ressource
Artikel 440 Performance of Genetic Programming and Multivariate Adaptive Regression Spline Models to Predict Vibration Response of Geocell Reinforced Soil Bed: A Comparative Study
Enthalten in International journal of geosynthetics and ground engineering Bd. 7, 23.8.2021, Nr. 3, date:9.2021: 1-17 		Online Ressource


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