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Reactive scheduling approach for solving a realistic flexible job shop scheduling problem
Mihoubi, B.; Bouzouia, B.; Gaham, M. - In: International journal of production research 59 (2021) 19, pp. 5790-5808
Persistent link: https://www.econbiz.de/10012625960
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A genetic algorithm with neural network fitness function evaluation for IMRT beam angle optimization
Dias, Joana; Rocha, Humberto; Ferreira, Brígida; … - In: Central European journal of operations research : CEJOR … 22 (2014) 3, pp. 431-455
Persistent link: https://www.econbiz.de/10010386613
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Spare parts stocking analysis using genetic programming
Ghaddar, Bissan; Sakr, Nizar; Asiedu, Yaw - In: European journal of operational research : EJOR 252 (2016) 1, pp. 136-144
Persistent link: https://www.econbiz.de/10011449144
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GP algorithm versus hybrid and mixed neural networks
Dunis, Christian; Laws, Jason; Karathanasopoulos, Andreas - In: The European journal of finance 19 (2013) 3/4, pp. 180-205
Persistent link: https://www.econbiz.de/10010243660
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Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects
Sermpinis, Georgios; Stasinakis, Charalampos; Dunis, … - In: Journal of international financial markets, … 30 (2014), pp. 21-54
Persistent link: https://www.econbiz.de/10011293055
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Multi-Objective tool to optimize the Water Resources Management using Genetic Algorithm and the Pareto Optimality Concept
Nouiri, Issam - In: Water Resources Management 28 (2014) 10, pp. 2885-2901
Management. The objectives of satisfying demand and reducing costs were taken into consideration while at the same time … optimality concept were used to resolve the formulated problem. The tool developed was used to help optimize the daily management … be used for a large variety of water management problems. Copyright Springer Science+Business Media Dordrecht 2014 …
Persistent link: https://www.econbiz.de/10010997304
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Surrogate modelling of a detailed farm-level model using deep learning
Shang, Linmei; Wang, Jifeng; Schäfer, David; Heckelei, … - In: Journal of agricultural economics : JAE 75 (2024) 1, pp. 235-260
Persistent link: https://www.econbiz.de/10014536582
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Software Defect Prediction Using Genetic Programming and Neural Networks
Akour, Mohammed; Melhem, Wasen Yahya - In: International Journal of Open Source Software and … 8 (2017) 4, pp. 32-51
This article describes how classification methods on software defect prediction is widely researched due to the need to increase the software quality and decrease testing efforts. However, findings of past researches done on this issue has not shown any classifier which proves to be superior to...
Persistent link: https://www.econbiz.de/10012046984
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Modelling and trading the greek stock market with gene expression and genetic programing algorithms
Karatahansopoulos, Andreas; Sermpinis, Georgios; Laws, Jason - In: Journal of forecasting 33 (2014) 8, pp. 596-610
Persistent link: https://www.econbiz.de/10011282849
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Generating investment strategies using multiobjective genetic programming and internet term popularity data
Jakubéci, Martin - In: Analele ştiinţifice ale Univerşităţii Alexandru … 62 (2015) 1, pp. 55-62
Persistent link: https://www.econbiz.de/10011302871