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Keywords: genetic algorithm
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Journal Articles
Article Type: Research Papers
J. Energy Resour. Technol. December 2022, 144(12): 122302.
Paper No: JERT-22-1107
Published Online: June 6, 2022
... model for BSNOx were combined with a genetic algorithm (GA) to generate the Pareto-optimal front. The results proved the concept of using a hybrid statistical approach (DoE + ANN) with GA as an effective tool to generate a range of compromise design solutions. By extracting designs along the Pareto...
Journal Articles
Article Type: Research Papers
J. Energy Resour. Technol. May 2022, 144(5): 052102.
Paper No: JERT-21-1709
Published Online: January 13, 2022
... is carried out using a genetic algorithm to determine the optimum solutions. The Utopian method is used to select the favorable solution from the optimal solutions in the Pareto frontier. Also, the distributions of the values of design variables within their allowable ranges are investigated. It is found...
Journal Articles
Article Type: Research Papers
J. Energy Resour. Technol. March 2022, 144(3): 033009.
Paper No: JERT-21-1713
Published Online: January 7, 2022
... gas directly affect the gas recovery. The optimal injection time is determined as the depleted stage, and the corresponding injection rate is optimized by using a genetic algorithm (GA) integrated with TOUGH2. The optimization of CO 2 injection parameters leads to recovery factors (RFs) reaching 62.83...
Includes: Supplementary data
Journal Articles
Article Type: Research Papers
J. Energy Resour. Technol. July 2022, 144(7): 073201.
Paper No: JERT-20-2053
Published Online: September 3, 2021
... fracture design parameters. The results are then compared with the traditionally used optimizers including particle swarm optimization (PSO) and genetic algorithm (GA). The results demonstrated that the multi-CI and TLBO converge at the global best position more often with a success rate of at least 95...
Journal Articles
Article Type: Research Papers
J. Energy Resour. Technol. July 2021, 143(7): 072106.
Paper No: JERT-20-1832
Published Online: April 26, 2021
... optimization of the above cycle is carried out using nondominated sorting genetic algorithm-II (NSGA-II). The optimal solutions given by the Pareto frontier are further assessed through widely used decision makers namely LINMAP, TOPSIS, and Bellman–Zadeh techniques. The optimal solutions attained...
Journal Articles
Article Type: Research Papers
J. Energy Resour. Technol. August 2021, 143(8): 082305.
Paper No: JERT-21-1175
Published Online: April 9, 2021
... machine learning genetic algorithm super learner active learning hyperparameter tuning In the development of novel design strategies and next-generation combustion technologies that boost fuel economy and comply with stringent emission regulations, one key component will be the optimization...
Journal Articles
Article Type: Technical Briefs
J. Energy Resour. Technol. February 2021, 143(2): 024502.
Paper No: JERT-19-1552
Published Online: August 13, 2020
... are optimized to maximize the electrical efficiency of the PV system. Due to non-convex nature of the objective function, the Genetic algorithm is employed to get the solutions. Simulation results show that the optimized water flowrate for a given interval duration minimizes the consumed power in pumping system...
Journal Articles
Article Type: Research Papers
J. Energy Resour. Technol. October 2020, 142(10): 102102.
Paper No: JERT-20-1009
Published Online: May 21, 2020
... load prediction using WNN optimized with genetic algorithm is presented in this article. Influence factors such as outdoor temperature, wind speed, and heat load at the previous one time point and at the previous two time point are taken as the input variables of the prediction model. Genetic algorithm...
Journal Articles
Article Type: Research-Article
J. Energy Resour. Technol. August 2019, 141(8): 081901.
Paper No: JERT-17-1585
Published Online: January 30, 2019
...Shahram Derakhshan; Mohammadreza Khosravian In this paper, a parabolic trough solar collector (PTSC) plant is combined with a liquid air energy storage (LAES) system. The genetic algorithm (GA) is used to optimize the proposed system for different air storage mass flow rates. The roundtrip exergy...
Journal Articles
Article Type: Research-Article
J. Energy Resour. Technol. April 2019, 141(4): 042007.
Paper No: JERT-18-1363
Published Online: December 24, 2018
... methods ineffective and improbable. Therefore, the process was optimized by genetic algorithm (GA) method, which is one of the most powerful methods. The optimum values for the number of cooling tubes, feed and cooling water temperatures were 308, 507.6 K, and 522.43 K, respectively. The optimization...
Journal Articles
Article Type: Research-Article
J. Energy Resour. Technol. September 2014, 136(3): 031301.
Paper No: JERT-12-1216
Published Online: May 13, 2014
... (left), and the feed water flow rate (right) The paper presents a genetic algorithm-based optimization framework to improve the ability of boilers to respond to fast steam load changes. The frame work decreases the firing rate overshoots, drum level fluctuation, and feed water oscillations...
Journal Articles
Article Type: Research-Article
J. Energy Resour. Technol. March 2013, 135(1): 013102.
Paper No: JERT-12-1056
Published Online: November 28, 2012
... in an Iranian layered reservoir. In this regard, CRM is coupled with production logging tools (PLT) data to study the effects of layers. A fractional-flow model is also coupled with the developed CRM to estimate oil production. Genetic algorithm (GA) method is used to minimize the error objective function...