Optimization methodology based on neural networks and self-adaptive differential evolution algorithm applied to an aerobic fermentation process
暂无分享,去创建一个
Silvia Curteanu | Elena Niculina Dragoi | Anca-Irina Galaction | Dan Cascaval | D. Cașcaval | A. Galaction | S. Curteanu | E. Drăgoi
[1] Dario Floreano,et al. Neuroevolution: from architectures to learning , 2008, Evol. Intell..
[2] Marius Turnea,et al. Comparative study on the effects of n-dodecane addition on oxygen transfer in stirred bioreactors for simulated, bacterial and yeasts broths , 2006 .
[3] Liang Gao,et al. A differential evolution algorithm with self-adapting strategy and control parameters , 2011, Comput. Oper. Res..
[4] Shiliang Sun,et al. Weighted Data Normalization Based on Eigenvalues for Artificial Neural Network Classification , 2009, ICONIP.
[5] K. Zielinski,et al. Stopping Criteria for Differential Evolution in Constrained Single-Objective Optimization , 2008 .
[6] Vitaliy Feoktistov. Differential Evolution: In Search of Solutions , 2006 .
[7] Silvia Curteanu,et al. Modeling of oxygen mass transfer in the presence of oxygen-vectors using neural networks developed by differential evolution algorithm , 2011, Eng. Appl. Artif. Intell..
[8] Daniela Zaharie,et al. Influence of crossover on the behavior of Differential Evolution Algorithms , 2009, Appl. Soft Comput..
[9] Ajith Abraham,et al. A simple adaptive Differential Evolution algorithm , 2009, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC).
[10] Ling Wang,et al. A hybrid differential evolution method for permutation flow-shop scheduling , 2008 .
[11] R. Storn,et al. On the usage of differential evolution for function optimization , 1996, Proceedings of North American Fuzzy Information Processing.
[12] M. M. Ali,et al. Differential evolution with preferential crossover , 2007, Eur. J. Oper. Res..
[13] Lorie M. Liebrock,et al. Empirical sensitivity analysis for computational procedures , 2005, 2005 Richard Tapia Celebration of Diversity in Computing Conference.
[14] M.A. Mazurowski,et al. Limitations of sensitivity analysis for neural networks in cases with dependent inputs , 2006, 2006 IEEE International Conference on Computational Cybernetics.
[15] Stéphane Doncieux,et al. MENNAG: a modular, regular and hierarchical encoding for neural-networks based on attribute grammars , 2008, Evol. Intell..
[16] B. V. Babu,et al. Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor , 2005 .
[17] Janez Brest,et al. Constrained Real-Parameter Optimization with ε -Self-Adaptive Differential Evolution , 2009 .
[18] Ashish M. Gujarathi,et al. Improved Multiobjective Differential Evolution (MODE) Approach for Purified Terephthalic Acid (PTA) Oxidation Process , 2009 .
[19] Bidyadhar Subudhi,et al. A differential evolution based neural network approach to nonlinear system identification , 2011, Appl. Soft Comput..
[20] Shahryar Rahnamayan,et al. Opposition-Based Differential Evolution Algorithms , 2006, 2006 IEEE International Conference on Evolutionary Computation.
[21] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[22] Dezhao Chen,et al. An improved differential evolution algorithm in training and encoding prior knowledge into feedforward networks with application in chemistry , 2002 .
[23] Ville Tirronen,et al. Recent advances in differential evolution: a survey and experimental analysis , 2010, Artificial Intelligence Review.
[24] X. Yao. Evolving Artificial Neural Networks , 1999 .
[25] Hamid R. Tizhoosh,et al. Opposition-Based Learning: A New Scheme for Machine Intelligence , 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).
[26] Silvia Curteanu,et al. Neural networks applied in chemistry. I. Determination of the optimal topology of multilayer perceptron neural networks , 2011 .
[27] Josef Tvrdík,et al. Adaptive differential evolution and exponential crossover , 2008, 2008 International Multiconference on Computer Science and Information Technology.
[28] Joni-Kristian Kämäräinen,et al. Differential Evolution Training Algorithm for Feed-Forward Neural Networks , 2003, Neural Processing Letters.
[29] M. Gevrey,et al. Review and comparison of methods to study the contribution of variables in artificial neural network models , 2003 .
[30] E. Nicoara,et al. Mechanisms to Avoid the Premature Convergence of Genetic Algorithms , 2009 .
[31] H. Abbass. The self-adaptive Pareto differential evolution algorithm , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).
[32] Carlos A. Coello Coello,et al. Simple Feasibility Rules and Differential Evolution for Constrained Optimization , 2004, MICAI.
[33] D. Zaharie. A Comparative Analysis of Crossover Variants in Differential Evolution , 2007 .
[34] Hussein A. Abbass,et al. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks , 2001, Australian Joint Conference on Artificial Intelligence.
[35] Rainer Storn,et al. Differential Evolution Research – Trends and Open Questions , 2008 .
[36] Jia-Sheng Heh,et al. A 2-Opt based differential evolution for global optimization , 2010, Appl. Soft Comput..
[37] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[38] Silvia Curteanu,et al. Multi-objective optimization of a stacked neural network using an evolutionary hyper-heuristic , 2012, Appl. Soft Comput..
[39] Bidyadhar Subudhi,et al. An improved differential evolution trained neural network scheme for nonlinear system identification , 2009, Int. J. Autom. Comput..
[40] Joseph S. Alford,et al. Bioprocess control: Advances and challenges , 2006, Comput. Chem. Eng..
[41] Przemyslaw M. Szecowka,et al. On reliability of neural network sensitivity analysis applied for sensor array optimization , 2011 .
[42] Mangesh D. Kapadi,et al. Optimal control of fed-batch fermentation involving multiple feeds using Differential Evolution , 2004 .
[43] Marius Turnea,et al. Enhancement of oxygen mass transfer in stirred bioreactors using oxygen-vectors 2. Propionibacterium shermanii broths , 2005, Bioprocess and biosystems engineering.
[44] T. Jayabarathi,et al. Combined Hybrid Differential Particle Swarm Optimization Approach for Economic Dispatch Problems , 2010 .
[45] Godfrey C. Onwubolu,et al. Forward Backward Transformation , 2009 .
[46] Debashisha Jena,et al. A combined differential evolution and neural network approach to nonlinear system identification , 2008, TENCON 2008 - 2008 IEEE Region 10 Conference.
[47] R. Storn,et al. Differential Evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces , 2004 .
[48] Dimitris K. Tasoulis,et al. A Review of Major Application Areas of Differential Evolution , 2008 .
[49] D. Zaharie. Statistical Properties of Differential Evolution and Related Random Search Algorithms , 2008 .
[50] César Hervás-Martínez,et al. Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology , 2010, Evol. Intell..
[51] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[52] Xuefeng Yan,et al. An Immune Self-adaptive Differential Evolution Algorithm with Application to Estimate Kinetic Parameters for Homogeneous Mercury Oxidation , 2009 .
[53] Xin Yao,et al. Evolving artificial neural networks , 1999, Proc. IEEE.
[54] B. V. Babu,et al. Performance of modified differential evolution for optimal design of complex and non-linear chemical processes , 2006, J. Exp. Theor. Artif. Intell..
[55] Mustafa E. Abdual-Salam,et al. Comparative study between Differential Evolution and Particle Swarm Optimization algorithms in training of feed-forward neural network for stock price prediction , 2010, 2010 The 7th International Conference on Informatics and Systems (INFOS).
[56] Silvia Curteanu,et al. Comparison between different methods for developing neural network topology applied to a complex polymerization process , 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).
[57] Jouni Lampinen,et al. A Trigonometric Mutation Operation to Differential Evolution , 2003, J. Glob. Optim..
[58] M.M.A. Salama,et al. Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.
[59] Janez Brest,et al. Performance comparison of self-adaptive and adaptive differential evolution algorithms , 2007, Soft Comput..
[60] Yi Liu,et al. Adaptive Control of Nonlinear Time-Varying Processes Using Selective Recursive Kernel Learning Method , 2011 .
[61] Uğur Yüzgeç,et al. Performance comparison of differential evolution techniques on optimization of feeding profile for an industrial scale baker's yeast fermentation process. , 2010, ISA transactions.
[62] Sigurdur Olafsson,et al. Chapter 21 Metaheuristics , 2006, Simulation.
[63] Ray Tsaih,et al. Sensitivity analysis, neural networks, and the finance , 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).
[64] Andrew Hunter,et al. Application of neural networks and sensitivity analysis to improved prediction of trauma survival , 2000, Comput. Methods Programs Biomed..
[65] Teresa Bernarda Ludermir,et al. Optimization of Neural Networks Weights and Architecture: A Multimodal Methodology , 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.
[66] D. Himmelblau. Accounts of Experiences in the Application of Artificial Neural Networks in Chemical Engineering , 2008 .
[67] Shahryar Rahnamayan,et al. Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate , 2007, 2007 IEEE Symposium on Foundations of Computational Intelligence.
[68] Chaohua Dai,et al. Dynamic multi-group self-adaptive differential evolution algorithm for reactive power optimization , 2010 .
[69] Bidyadhar Subudhi,et al. Differential Evolution and Levenberg Marquardt Trained Neural Network Scheme for Nonlinear System Identification , 2008, Neural Processing Letters.
[70] George L. Nemhauser,et al. Handbooks in operations research and management science , 1989 .
[71] D. Cașcaval,et al. Prediction of oxygen mass transfer coefficients in stirred bioreactors for bacteria, yeasts and fungus broths , 2004 .
[72] Godfrey C. Onwubolu,et al. Differential Evolution: A Handbook for Global Permutation-Based Combinatorial Optimization , 2009 .
[73] Anyong Qing. Differential Evolution: Fundamentals and Applications in Electrical Engineering , 2009 .