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A methodology based on evolutionary algorithms to solve a dynamic pickup and delivery problem under a hybrid predictive control approach

Muñoz-Carpintero, Diego; Sáez, Doris; Cortés, Cristian E. - In: Transportation science : a journal of the Institute for … 49 (2015) 2, pp. 239-253

Persistent link: https://www.econbiz.de/10011287514

Evolutionary Algorithms in a Support Vector Regression Financial Forecasting Model : Case of Continuous Ant Colony Optimization Algorithms

Hong, Wei-Chiang - 2007

Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...

Persistent link: https://www.econbiz.de/10014049169

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

Intelligent hybrid model for financial crisis prediction using machine learning techniques

Uthayakumar, J.; Metawa, Noura; Shankar, K.; … - In: Information systems and e-business management : ISeB 18 (2020) 4, pp. 617-645

Persistent link: https://www.econbiz.de/10012416468

Boosting ant colony optimization via solution prediction and machine learning

Sun, Yuan; Wang, Sheng; Shen, Yunzhuang; Li, Xiaodong; … - In: Computers & operations research : and their … 143 (2022), pp. 1-16

Persistent link: https://www.econbiz.de/10013343259

A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning

Bansal, Malti; Goyal, Apoorva; Choudhary, Apoorva - In: Decision analytics journal 3 (2022), pp. 1-21

machine learning algorithms namely-K-Nearest Neighbor (KNN), Genetic Algorithm (GA), Support Vector Machine (SVM), Decision … exhaustively reviewed and researched in all aspects qualitatively and quantitatively, wherein the LSTM network and SVM algorithm …

Persistent link: https://www.econbiz.de/10013339256

Meta heuristic approach for automatic forecasting model selection

Babu, Shoban; Shah, Mitul - In: International journal of information systems and supply … 6 (2013) 2, pp. 1-16

Persistent link: https://www.econbiz.de/10010128251

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

Forecasting inflection points : hybrid methods with multiscale machine learning algorithms

Chevallier, Julien; Zhu, Bangzhu; Zhang, Lyuyuan - In: Computational economics 57 (2021) 2, pp. 537-575

Persistent link: https://www.econbiz.de/10012486931

Economic growth prediction using optimized support vector machines

Emsia, Elmira; Coskuner, Cagay - In: Computational economics 48 (2016) 3, pp. 453-462

Persistent link: https://www.econbiz.de/10011712511

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