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Feature information prediction algorithm for dynamic multi-objective optimization problems
Ma, Xuemin; Yang, Jingming; Sun, Hao; Hu, Ziyu; Wei, Lixin - In: European journal of operational research : EJOR 295 (2021) 3, pp. 965-981
Persistent link: https://www.econbiz.de/10012622425
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A hybrid multi-objective immune algorithm for predictive and reactive scheduling
Paprocka, Iwona; Skołud, Bożena - In: Journal of scheduling 20 (2017) 2, pp. 165-182
Persistent link: https://www.econbiz.de/10011691575
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Multi-objective memetic algorithm : comparing artificial neural networks and pattern search filter method approaches
Gaspar-Cunha, A.; Mendes, F.; Costa, M. F. P. - In: International transactions in operational research : … 18 (2011) 2, pp. 183-203
Persistent link: https://www.econbiz.de/10008907204
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Forecasting carbon price using a multi-objective least squares support vector machine with mixture kernels
Zhu, Bangzhu; Ye, Shunxin; Wang, Ping; Chevallier, Julien; … - In: Journal of forecasting 41 (2022) 1, pp. 100-117
Persistent link: https://www.econbiz.de/10012796273
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Multiobjective portfolio optimization : forecasting and evaluation under investment horizon heterogeneity
Dai, Xingyu; Zhang, Dongna; Lau, Chi Keung; Wang, Qunwei - In: Journal of forecasting 42 (2023) 8, pp. 2167-2196
Persistent link: https://www.econbiz.de/10014432869
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Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm
Samadianfard, Saeed; Hashemi, Sajjad; Kargar, Katayoun; … - In: Energy reports 6 (2020), pp. 1147-1159
) with the Whale Optimization Algorithm (WOA) was used to build new method (MLP-WOA) with a limited set of data (2004 … at each target station was compared with the MLP optimized by the Genetic Algorithm (MLP-GA) and standalone MLP without … models. It was concluded that the WOA optimization algorithm could improve the prediction accuracy of the MLP model and may …
Persistent link: https://www.econbiz.de/10012221074
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Nonlinear forecasting of the Gold Miner Spread : an application of correlations filters
Dunis, Christian; Laws, Jason; Middleton, Peter W.; … - In: Intelligent systems in accounting finance and … 20 (2013) 4, pp. 207-231
Persistent link: https://www.econbiz.de/10010233196
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An optimized wavelet neural networks using cuckoo search algorithm for function approximation and chaotic time series prediction
Ong, Pauline; Zainuddin, Zarita - In: Decision analytics journal 6 (2023), pp. 1-12
challenge for WNNs' initialization. The cuckoo search algorithm (CSA) is used in this study for optimizing WNNs. The position of …
Persistent link: https://www.econbiz.de/10014506437
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Developing a flexible manufacturing control system considering mixed uncertain predictive maintenance model : a simulation-based optimization approach
Shahbazi, Behrooz; Rahmati, Habib A. - In: Operations research forum 2 (2021) 4, pp. 1-43
Persistent link: https://www.econbiz.de/10012663056
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Time Series Forecasting With a Learning Algorithm : An Approximate Dynamic Programming Approach
Collado, Ricardo - 2019
We consider the basic problem of refi tting a time series over a finite period of time and formulate it as a stochastic dynamic program. By changing the underlying Markov decision process we are able to obtain a model that at optimality considers historical data as well as forecasts of future...
Persistent link: https://www.econbiz.de/10012894079