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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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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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Collaborative bullwhip effect-oriented bi-objective optimization for inference-based weighted moving average forecasting in decentralized supply chain
Tliche, Youssef; Taghipour, Atour; Mahfod-Leroux, Jomana; … - In: International journal of information systems and supply … 16 (2023) 1, pp. 1-37
Persistent link: https://www.econbiz.de/10014445298
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A multi-objective optimization metaheuristic hybrid technique for forecasting the electricity consumption of the UAE : a grey wolf approach
Karathanasopoulos, Andreas; Lo, Chia Chun; Sovan, Mitra; … - In: Journal of forecasting 44 (2025) 1, pp. 242-252
Persistent link: https://www.econbiz.de/10015374016
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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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Constraint-handling through multi-objective optimization : the hydrophobic-polar model for protein structure prediction
Garza-Fabre, Mario; Rodriguez-Tello, Eduardo; … - In: Computers & operations research : and their … 53 (2015), pp. 128-153
Persistent link: https://www.econbiz.de/10010493490
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Reference vector-based multiobjective clustering ensemble approach for time series forecasting
Liu, Chao - In: Computational economics 64 (2024) 1, pp. 181-210
Persistent link: https://www.econbiz.de/10015078014
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Financial distress prediction using an improved particle swarm optimization wrapper feature selection method and tree boosting ensemble
Liu, Jiaming; Wang, Zihang - In: Journal of the Operational Research Society 76 (2025) 4, pp. 617-640
Persistent link: https://www.econbiz.de/10015330427
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Non-dominated sorting genetic algorithm-ii-induced neural-supported prediction of water quality with stability analysis
Chatterjee, Sankhadeep; Sarkar, Sarbartha; Dey, Nilanjan; … - In: Journal of information & knowledge management : JIKM 17 (2018) 2, pp. 1850016-1-20
Persistent link: https://www.econbiz.de/10011888376
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Modelling and trading the English stock market with new forecasting techniques
Karathanasopoulos, Andreas - In: Economics and Business Letters : EBL 5 (2016) 2, pp. 50-57
The motivation of this paper is to introduce a short term adaptive model (Partial Swarm Optimizer combined with linear and nonlinear models when applied to the task of forecasting and trading the daily closing returns of the FTSE100 exchange traded funds (ETFs). This is done by benchmarking its...
Persistent link: https://www.econbiz.de/10011573208