Search Results - subject:"Genetic algorithm"

A problem-adjusted genetic algorithm for flexibility design

Schneider, Michael; Grahl, Jörn; Francas, David; Vigo, … - In: International Journal of Production Economics 141 (2013) 1, pp. 56-65

Genetic Algorithm (FGA) that exploits qualitative insights into the structure of good solutions, such as the well …

Persistent link: https://www.econbiz.de/10011043252

Thermodynamic analysis of an integrated gasification solid oxide fuel cell plant combined with an organic Rankine cycle

Pierobon, Leonardo; Rokni, Masoud; Larsen, Ulrik; … - In: Renewable Energy 60 (2013) C, pp. 226-234

state). A genetic algorithm is employed to select the optimal working fluid and the maximum pressure for the bottoming cycle …

Persistent link: https://www.econbiz.de/10011043812

Improvement of airfoil design using smooth curvature technique

Chen, Jin; Wang, Quan; Pang, Xiaoping; Li, Songlin; … - In: Renewable Energy 51 (2013) C, pp. 426-435

method, the DU93-W-210 airfoil is improved with the corrected geometrical scale factor a, and optimized using genetic … algorithm (GA) method by controlling the coefficients of the shape function, leading to a new airfoil. Comparatively, the …

Persistent link: https://www.econbiz.de/10011043986

On the problem of calibrating an agent based model for financial markets

Fabretti, Annalisa - In: Journal of Economic Interaction and Coordination 8 (2013) 2, pp. 277-293

CitationID="CR19">2003</CitationRef>) and a genetic algorithm have been implemented to calibrate the model presented by Farmer …

Persistent link: https://www.econbiz.de/10010999163

Reducing the number of setups for CNC punch presses

Marvizadeh, S. Zamiri; Choobineh, F.F. - In: Omega 41 (2013) 2, pp. 226-235

Large computer numerical control (CNC) punch presses are widely used for punching holes in heavy gage sheet metals. The turret of such presses has limited tool capacity, and any tool changes require dismantling the turret. Dismantling and reloading the turret generally takes several hours and is...

Persistent link: https://www.econbiz.de/10010580771

Carryover sequence-dependent group scheduling with the integration of internal and external setup times

Yazdani Sabouni, M.T.; Logendran, Rasaratnam - In: European Journal of Operational Research 224 (2013) 1, pp. 8-22

two other meta-heuristic algorithms (one based on tabu search and the other based on genetic algorithm) are proposed and …

Persistent link: https://www.econbiz.de/10010580817

Applying Genetic Algorithm and Neural Network to the Conjunctive Use of Surface and Subsurface Water

Chen, Yu; Chang, Liang; Huang, Chun; Chu, Hone - In: Water Resources Management 27 (2013) 14, pp. 4731-4757

with greater computational efficiency. Specifically, this study proposes a hybrid approach consisting of Genetic Algorithm …

Persistent link: https://www.econbiz.de/10010997589

Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms

Safavi, Hamid; Esmikhani, Mahdieh - In: Water Resources Management 27 (2013) 7, pp. 2623-2644

(SVMs) model is developed as a simulator of surface water and groundwater interaction model while a genetic algorithm (GA …

Persistent link: https://www.econbiz.de/10010997908

Differential Evolution for Prediction of Longitudinal Dispersion Coefficients in Natural Streams

Li, Xiangtao; Liu, Huawen; Yin, Minghao - In: Water Resources Management 27 (2013) 15, pp. 5245-5260

Differential evolution (DE) is a population-based evolutionary algorithm widely used for solving multidimensional global optimization problems over continuous spaces, and has been successfully used to solve several kinds of problems. In this paper, a novel expression for the prediction of...

Persistent link: https://www.econbiz.de/10010997984

Application of NN-ARX Model to Predict Groundwater Levels in the Neishaboor Plain, Iran

Izady, A.; Davary, K.; Alizadeh, A.; Nia, A. Moghaddam; … - In: Water Resources Management 27 (2013) 14, pp. 4773-4794

Genetic Algorithm. Also, Gamma Test is applied to identify the length of the training dataset. The results showed that the NN …

Persistent link: https://www.econbiz.de/10010998036