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Using simulation-based system dynamics and genetic algorithms to reduce the cash flow bullwhip in the supply chain
Badakhshan, Ehsan; Humphreys, Paul; Maguire, Liam; … - In: International journal of production research 58 (2020) 17, pp. 5253-5279
Persistent link: https://www.econbiz.de/10012266154
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Computing value-at-risk using genetic algorithm
Sharma, Bhanu; Thulasiram, Ruppa K.; Thulasiram, Parimala - In: Journal of risk finance : the convergence of financial … 16 (2015) 2, pp. 170-189
Persistent link: https://www.econbiz.de/10010514021
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Container flow forecasting through neural networks based on metaheuristics
Milenković, Miloš; Milosavljevic, N.; Bojović, N.; … - In: Operational research : an international journal 21 (2021) 2, pp. 965-997
Persistent link: https://www.econbiz.de/10012584150
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A comparison of genetic programming and artificial neural networks in metamodeling of discrete-event simulation models
Can, Birkan; Heavey, Cathal - In: Computers & operations research : and their … 39 (2012) 2, pp. 424-436
Persistent link: https://www.econbiz.de/10009348474
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A control strategy of ES system based on short term wind-PV power prediction
Ji, Huizheng; Niu, Dongxiao; Wu, Han; Wu, Meiqiong; Li, … - In: International journal of technology, policy and … 19 (2019) 4, pp. 329-351
Persistent link: https://www.econbiz.de/10012168915
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Microfounded tax revenue forecast model with heterogeneous population and genetic algorithm approach
Alexi, Ariel; Lazebnik, Teddy; Shami, Labib - In: Computational economics 63 (2024) 5, pp. 1705-1734
Persistent link: https://www.econbiz.de/10014549204
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Forecasting in a complex environment : machine learning sales expectations in a stock flow consistent agent-based simulation model
Catullo, Ermanno; Gallegati, Mauro; Russo, Alberto - In: Journal of economic dynamics & control 139 (2022), pp. 1-32
Persistent link: https://www.econbiz.de/10013464770
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Prediction markets : theory and applications
Vaughan Williams, Leighton (ed.) - 2011
Persistent link: https://www.econbiz.de/10009152004
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Individual expectations and aggregate behavior in learning to forecast experiments
Hommes, Cars (contributor); Lux, Thomas (contributor) - 2008
Models with heterogeneous interacting agents explain macro phenomena through interactions at the micro level. We propose genetic algorithms as a model for individual expectations to explain aggregate market phenomena. The model explains all stylized facts observed in aggregate price fluctuations...
Persistent link: https://www.econbiz.de/10003777257