ASSESSMENT OF ELECTRICITY DEMAND IN IRAN'S INDUSTRIAL SECTOR USING DIFFERENT INTELLIGENT OPTIMIZATION TECHNIQUES
暂无分享,去创建一个
[1] A. Hepbasli,et al. Electricity estimation using genetic algorithm approach: a case study of Turkey , 2005 .
[2] Riccardo Poli,et al. Particle swarm optimization , 1995, Swarm Intelligence.
[3] Harun Kemal Ozturk,et al. Estimating energy demand of Turkey based on economic indicators using genetic algorithm approach , 2004 .
[4] James E. Baker,et al. Adaptive Selection Methods for Genetic Algorithms , 1985, International Conference on Genetic Algorithms.
[5] Harun Kemal Ozturk,et al. Three different applications of genetic algorithm (GA) search techniques on oil demand estimation , 2006 .
[6] Hong Liu,et al. Particle Swarm Optimization based on Dynamic Niche Technology with Applications to Conceptual Design , 2006, 2006 10th International Conference on Computer Supported Cooperative Work in Design.
[7] Russell C. Eberhart,et al. Parameter Selection in Particle Swarm Optimization , 1998, Evolutionary Programming.
[8] Soner Haldenbilen,et al. Genetic algorithm approach to estimate transport energy demand in Turkey , 2005 .
[9] Andries Petrus Engelbrecht,et al. Fundamentals of Computational Swarm Intelligence , 2005 .
[10] Zbigniew Michalewicz,et al. A Hierarchy of Evolution Programs: An Experimental Study , 1993, Evolutionary Computation.
[11] M. Toksari. Ant colony optimization approach to estimate energy demand of Turkey , 2007 .
[12] Zbigniew Michalewicz,et al. Adaptation in evolutionary computation: a survey , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).
[13] Harun Kemal Ozturk,et al. Application of Genetic Algorithm (GA) Technique on Demand Estimation of Fossil Fuels in Turkey , 2008 .
[14] I-Tung Yang,et al. Performing complex project crashing analysis with aid of particle swarm optimization algorithm , 2007 .
[15] Andries Petrus Engelbrecht,et al. Locating multiple optima using particle swarm optimization , 2007, Appl. Math. Comput..
[16] Christopher R. Stephens,et al. "Optimal" mutation rates for genetic search , 2006, GECCO.
[17] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[18] Lothar Thiele,et al. A Comparison of Selection Schemes used in Genetic Algorithms , 1995 .
[19] Ling Wang,et al. Particle swarm optimization for function optimization in noisy environment , 2006, Appl. Math. Comput..
[20] Ali Azadeh,et al. A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran , 2008 .
[21] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[22] John J. Grefenstette,et al. How Genetic Algorithms Work: A Critical Look at Implicit Parallelism , 1989, ICGA.
[23] Yue Shi,et al. A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).
[24] Adnan Sözen,et al. Prospects for Future Projections of the Basic Energy Sources in Turkey , 2007 .
[25] Rajarshi Das,et al. A Study of Control Parameters Affecting Online Performance of Genetic Algorithms for Function Optimization , 1989, ICGA.
[26] Lawrence. Davis,et al. Handbook Of Genetic Algorithms , 1990 .
[27] John J. Grefenstette,et al. Optimization of Control Parameters for Genetic Algorithms , 1986, IEEE Transactions on Systems, Man, and Cybernetics.
[28] Alper Ünler,et al. Improvement of energy demand forecasts using swarm intelligence: The case of Turkey with projections to 2025 , 2008 .
[29] Adnan Sözen,et al. Modelling of Turkey's net energy consumption using artificial neural network , 2005, Int. J. Comput. Appl. Technol..