Search Results - subject:"Gene Expression Programming"

Feature selection approach for evolving reactive scheduling policies for dynamic job shop scheduling problem using gene expression programming

Shady, Salama; Kaihara, Toshiya; Fujii, Nobutada; … - In: International journal of production research 61 (2023) 15, pp. 5029-5052

Persistent link: https://www.econbiz.de/10014381859

Generating decision rules for flexible capacity expansion problem through gene expression programming

Hu, Junfei; Guo, Peng; Poh, K. L. - In: Computers & operations research : and their … 122 (2020), pp. 1-12

Persistent link: https://www.econbiz.de/10012271960

Extracting priority rules for dynamic multi-objective flexible job shop scheduling problems using gene expression programming

Ozturk, Gurkan; Bahadir, Ozan; Teymourifar, Aydin - In: International journal of production research 57 (2019) 10, pp. 3121-3137

Persistent link: https://www.econbiz.de/10012193245

Forecasting volatility returns of oil price using gene expression programming approach

Amo Baffour, Alexander; Jingchun, Feng; Fan, Liwei; … - In: Journal of time series econometrics 11 (2019) 2, pp. 1-16

Persistent link: https://www.econbiz.de/10012022879

Deriving Trading Rules Using Gene Expression Programming

VISOIU, Adrian - In: Informatica Economica 15 (2011) 1, pp. 22-30

This paper presents how buy and sell trading rules are generated using gene expression programming with special setup …. The use of genetic algorithms in deriving trading rules is presented. Gene expression programming is applied in a form … genes in order to keep the linear structure of the gene expression programming chromosome. The setup of multiple gene …

Persistent link: https://www.econbiz.de/10009416396

A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming

Sangeetha, J.; Nagaraj, Keerthiraj; Murthy, K. N. … - In: International Journal of Applied Metaheuristic … 7 (2016) 2, pp. 16-38

WiMAX networks. To address this, the authors are using Gene Expression Programming technique. They have generated datasets …

Persistent link: https://www.econbiz.de/10012042928

Oil price forecasting using gene expression programming and artificial neural networks

Mostafa, Mohamed M.; El-Masry, Ahmed A. - In: Economic modelling 54 (2016), pp. 40-53

Persistent link: https://www.econbiz.de/10011641367

Structure Refinement for Vulnerability Estimation Models using Genetic Algorithm Based Model Generators

VISOIU, Adrian - In: Informatica Economica 13 (2009) 1, pp. 64-74

In this paper, a method for model structure refinement is proposed and applied in estimation of cumulative number of vulnerabilities according to time. Security as a quality characteristic is presented and defined. Vulnerabilities are defined and their importance is assessed. Existing models...

Persistent link: https://www.econbiz.de/10009416325

Development and validation of a GEP model to predict the performance and exhaust emission parameters of a CRDI assisted single cylinder diesel engine coupled with EGR

Roy, Sumit; Ghosh, Ashmita; Das, Ajoy Kumar; Banerjee, Rahul - In: Applied Energy 140 (2015) C, pp. 52-64

Gene Expression Programming was employed to express the relationship between the inputs and the outputs of a single … been modelled by Gene Expression Programming where load, fuel injection pressure, EGR and fuel injected per cycle were …

Persistent link: https://www.econbiz.de/10011189428

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