An Indexed Bibliography of Genetic Algorithms and Neural Networks

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[3]  N. Dodd,et al.  Optimisation of network structure using genetic techniques , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[4]  N. K. Roy,et al.  Designing Polymer Blends Using Neural Networks, Genetic Algorithms, and Markov Chains , 2000, Applied Intelligence.

[5]  Kwee-Bo Sim,et al.  Evolving chaotic neural systems for time series prediction , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[6]  Eleanor G. Rieffel,et al.  Design of decentralized controllers for self-reconfigurable modular robots using genetic programming , 2000, Proceedings. The Second NASA/DoD Workshop on Evolvable Hardware.

[7]  R V Parbhane,et al.  Optimum DNA Curvature Using a Hybrid Approach Involving an Artificial Neural Network and Genetic Algorithm , 2000, Journal of biomolecular structure & dynamics.

[8]  Inman Harvey,et al.  Issues in evolutionary robotics , 1993 .

[9]  G.S. Moschytz,et al.  Genetic optimization of cellular neural networks , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[10]  Stefanos Kollias,et al.  A novel iron loss reduction technique for distribution transformers based on a combined genetic algorithm - neural network approach , 2001 .

[11]  Lee A. Belfore,et al.  Neurogenetic models for the characterization of fault tolerant switched reluctance motors , 1997, 1997 IEEE International Electric Machines and Drives Conference Record.

[12]  David W. Coit,et al.  Solving the redundancy allocation problem using a combined neural network/genetic algorithm approach , 1996, Comput. Oper. Res..

[13]  Piero Mussio,et al.  Toward a Practice of Autonomous Systems , 1994 .

[14]  Dimitris C. Dracopoulos,et al.  Evolutionary Learning Algorithms for Neural Adaptive Control , 1997, Perspectives in Neural Computing.

[15]  Teuvo Kohonen.  Fast Evolutionary Learning with Batch-Type Self-Organizing Maps , 2004, Neural Processing Letters.

[16]  A. Sakr,et al.  Modeling of a roller-compaction process using neural networks and genetic algorithms. , 1999, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

[17]  Jongsoo Lee,et al.  Application of classifier systems in improving response surface based approximations for design optimization , 2001 .

[18]  Helmut A. Mayer.  Symbiotic Coevolution of Artificial Neural Networks and Training Data Sets , 1998, PPSN.

[19]  Sigeru Omatu,et al.  Mask Optimization by Genetic Algorithm for a Neuro-Pattern Recognition Machine with Masks , 1995 .

[20]  Stefan C. Kremer,et al.  The Guelph Darwin Project: the evolution of neural networks by genetic algorithms , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[21]  Stefano Nolfi,et al.  Learning to Adapt to Changing Environments in Evolving Neural Networks , 1996, Adapt. Behav..

[22]  R. Dybowski,et al.  Prediction of outcome in critically ill patients using artificial neural network synthesised by genetic algorithm , 1996, The Lancet.

[23]  Takeshi Furuhashi,et al.  Fuzzy Modeling of Nonlinear Systems Using Fuzzy Neural Networks and Genetic Algorithm , 1997, ICONIP.

[24]  Jordan B. Pollack,et al.  Automatic design and manufacture of robotic lifeforms , 2000, Nature.

[25]  Using genetic recombination to optimize neural networks , 1989, International 1989 Joint Conference on Neural Networks.

[26]  Shyh-Jier Huang,et al.  Genetic-based multilayered perception for Taiwan power system short-term load forecasting , 1996 .

[27]  Sergio Margarita.  Genetic Neural Networks for Financial Markets: Some Results , 1992, ECAI.

[28]  Vittorio Maniezzo,et al.  NN's and GA's: evolving co-operative behaviour in adaptive learning agents , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[29]  Pierre Bessiere,et al.  Genetic algorithms applied to formal neural networks: parallel genetic implementation of a Boltzmann machine and associated robotic experimentations , 1991 .

[30]  G. Abor,et al.  Genetic Algorithm with Migration on Topology Conserving Maps , 1995 .

[31]  M.H. Hassoun,et al.  Fundamentals of Artificial Neural Networks , 1996, Proceedings of the IEEE.

[32]  Leslie Lamport,et al.  Latex : A Document Preparation System , 1985 .

[33]  Robert J. Marks,et al.  Inversion of feedforward neural networks: algorithms and applications , 1999, Proc. IEEE.

[34]  Matteo De Felice,et al.  Evolving Complex Neural Networks , 2007, AI*IA.

[35]  Sushmita Mitra,et al.  Neuro-fuzzy rule generation: survey in soft computing framework , 2000, IEEE Trans. Neural Networks Learn. Syst..

[36]  Hugo de Garis,et al.  GROWING AN ARTIFICIAL BRAIN : The Genetic Programming of Million-Neural-Net-Module Artificial Brains within Trillion Cell Cellular Automata Machines , 2001 .

[37]  T. Senjyu,et al.  Stabilization control for multi-machine power system by nonlinear state feedback control using neural network , 1999, IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233).

[38]  Peter J. B. Hancock,et al.  Genetic algorithms and permutation problems: a comparison of recombination operators for neural net structure specification , 1992, [Proceedings] COGANN-92: International Workshop on Combinations of Genetic Algorithms and Neural Networks.

[39]  A. R. Burton,et al.  Utilisation of an adaptive resonance theory neural network as a genetic algorithm fitness evaluator , 1997, Proceedings of IEEE International Symposium on Information Theory.

[40]  Akira Imada,et al.  Random Perturbations to Hebbian Synapses of Associative Memory Using a Genetic Algorithm , 1997, IWANN.

[41]  Duc Truong Pham,et al.  Design of an adaptive fuzzy logic controller , 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.

[42]  Thomas Ragg,et al.  Neural Network Optimization through Searching Guided by Stochastic Methods , 1998 .

[43]  Cheng-Yan Kao,et al.  A new evolutionary approach to developing neural autonomous agents , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[44]  Russell L. Purvis,et al.  Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support , 2002, Decis. Support Syst..

[45]  Sankar K. Pal,et al.  Soft Computing and Image Analysis: Features, Relevance and Hybridization , 2000 .

[46]  Sergio D'Angelo,et al.  Experimenting genetic algorithms for training a neural network prototype for photon event identification , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[47]  L. Marti.  Genetically generated neural networks. II. Searching for an optimal representation , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[48]  Brian Carse,et al.  Fast Evolutionary Learning of Minimal Radial Basis Function Neural Networks Using a Genetic Algorithm , 1996, Evolutionary Computing, AISB Workshop.

[49]  Bernhard Sendhoff,et al.  Variable encoding of modular neural networks for time series prediction , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[50]  Naofumi Okubo,et al.  Structural determination of multilayered large-signal neural-network HEMT model , 1998 .

[51]  Y. Iwasa,et al.  Evolution of condition-dependent dispersal: A genetic-algorithm search for the ESS reaction norm , 1997, Researches on Population Ecology.

[52]  João Alberto Fabro,et al.  Fuzzy-neuro predictive control, tuned by genetic algorithms, applied to a fermentation process , 2003, Proceedings of the 2003 IEEE International Symposium on Intelligent Control.

[53]  Huihe Shao,et al.  Genetic evolved neural network for process modelling and optimization , 1996 .

[54]  Hugo de Garis.  Brain Building with GenNets , 1990 .

[55]  Wolfgang Banzhaf,et al.  Pattern Search Using Genetic Algorithms and a Neural Network Model , 1994, Complex Syst..

[56]  Bojan Novak,et al.  Superfast autoconfiguring artificial neural networks and their application to power systems , 1995 .

[57]  Xavier Vilasis-Cardona,et al.  Redes Neuronales para identificacin y prediccin de series de tiempo , 2000 .

[58]  Hiroshi Nagahashi,et al.  Designing adaptive neural network architectures and their learning parameters using genetic algorithms , 1993, Defense, Security, and Sensing.

[59]  Vikram Aedula.  Collective behavior in robots using evolutionary neural networks , 2003 .

[60]  Fang Jian,et al.  Neural network design based on evolutionary programming , 1997 .

[61]  Rajarshi Das,et al.  Genetic reinforcement learning for neural networks , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[62]  Lawrence Davis,et al.  Training Feedforward Neural Networks Using Genetic Algorithms , 1989, IJCAI.

[63]  B. Porter,et al.  Evolutionary robustification of digital trajectory-tracking controllers for robotic manipulators , 1999, Neural Parallel Sci. Comput..

[64]  Minoru Fukumi,et al.  Designing a Neural Network Using Evolutionary Algorithms with Deterministic Mutation , 1997 .

[65]  Ahmad B. Rad,et al.  Alleviating 'overfitting' via genetically-regularised neural network , 2002 .

[66]  Joost N. Kok,et al.  Feature Selection for Neural Networks through Functional Links Found by Evolutionary Computation , 1997, IDA.

[67]  Mark Watson.  C++ Power Paradigms , 1995 .

[68]  John W. Satzinger,et al.  Neural Networks Refined: Using a Genetic Algorithm to Identify Predictors of is Student Success , 2001, J. Comput. Inf. Syst..

[69]  O. Nelles.  Nonlinear System Identification: From Classical Approaches to Neural Networks and Fuzzy Models , 2000 .

[70]  심귀보,et al.  공진화를 이용한 신경회로망의 구조 최적화 ( Structure Optimization of Neural Network using Co-Evolution ) , 1998 .

[71]  Kangling Fang,et al.  A neural network controller based on genetic algorithms , 1997, 1997 IEEE International Conference on Intelligent Processing Systems (Cat. No.97TH8335).

[72]  Kittipong Boonlong,et al.  Further investigations on friction compensation using a neuro-genetic based hybrid framework , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[73]  Yen-Wei Chen,et al.  Blind separation based on an evolutionary neural network , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[74]  H. Kitano.  Neurogenetic learning: an integrated method of designing and training neural networks using genetic algorithms , 1994 .

[75]  Reinhold Huber,et al.  On the Role of Regularization Parameters in Fitness Functions for Evolutionary Designed Artificial N , 1996 .

[76]  Hidehiko Yamamoto.  Recognition System of Hand-written Figures by Using Neural Networks and Genetic Algorithm , 1995 .

[77]  Alice E. Smith,et al.  USING A NEURAL NETWORK AS A FUNCTION EVALUATOR DURING GA SEARCH FOR RELIABILITY OPTIMIZATION , 1998 .

[78]  T. Bossomaier,et al.  MONSTER — The Ghost in the Connection Machine: Modularity of Neural Systems in Theoretical Evolutionary Research , 1995, Proceedings of the IEEE/ACM SC95 Conference.

[79]  Yves Cherruault,et al.  The genicAgent: a hybrid approach for multi‐agent problem solving , 2001 .

[80]  S. Omatu,et al.  Stability of inverted pendulum by neuro-PID control with genetic algorithm , 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

[81]  L. Darrell Whitley,et al.  Genetic Reinforcement Learning with Multilayer Neural Networks , 1991, ICGA.

[82]  M F Jefferson,et al.  Prediction of hemorrhagic blood loss with a genetic algorithm neural network. , 1998, Journal of applied physiology.

[83]  Kevin D. Reilly,et al.  Genetic learning algorithms for fuzzy neural nets , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[84]  Changli Zhang,et al.  Application of Genetic Algorithm (GA) Trained Artificial Neural Network to Identify Tomatoes with Physiological Diseases , 2007, CCTA.

[85]  Marzuki Khalid,et al.  Tuning of a neuro-fuzzy controller by genetic algorithm , 1999, IEEE Trans. Syst. Man Cybern. Part B.

[86]  Yuji Sato,et al.  Evolutionary algorithms that generate recurrent neural networks for learning chaos dynamics , 1996, Proceedings of IEEE International Conference on Evolutionary Computation.

[87]  A. Grauel,et al.  Using evolutionary algorithms for the structural optimization of an artificial neural network performing the analysis of electronic nose data , 1996 .

[88]  Christian Igel,et al.  Operator adaptation in evolutionary computation and its application to structure optimization of neural networks , 2003, Neurocomputing.

[89]  Timothy Masters,et al.  Practical neural network recipes in C , 1993 .

[90]  L. Darrell Whitley,et al.  Genetic algorithms and neural networks: optimizing connections and connectivity , 1990, Parallel Comput..

[91]  Is neural darwinism darwinism , 1997 .

[92]  Enrique Alba,et al.  Advanced Evolutionary Algorithms for Training Neural Networks , 2005, Handbook of Bioinspired Algorithms and Applications.

[93]  Jimin Liang,et al.  Designing neuroclassifier fusion system by immune genetic algorithm , 2001, International Symposium on Multispectral Image Processing and Pattern Recognition.

[94]  Conrad Bessant,et al.  Neural networks for the calibration of voltammetric data , 2003 .

[95]  Ren-Guo Song,et al.  The application of artificial neural networks to the investigation of aging dynamics in 7175 aluminium alloys , 1995 .

[96]  Tomonobu Senjyu,et al.  Deterministic prediction method using recurrent neural network optimized by genetic algorithm , 1999 .

[97]  Tetsuo Morimoto,et al.  An intelligent approach for optimal control of fruit-storage process using neural networks and genetic algorithms , 1997 .

[98]  Ling Guan,et al.  Adaptive image restoration based on hierarchical neural networks , 2000 .

[99]  H. Ghezelayagh,et al.  Training neuro-fuzzy boiler identifier with genetic algorithm and error back-propagation , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[100]  Inman Harvey,et al.  Evolved Recurrent Dynamical Networks Use Noise , 1993 .

[101]  J. C. Cassa,et al.  Prediction of cement paste mechanical behaviour from chemical composition using genetic algorithms and artificial neural networks , 1999, Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials. IPMM'99 (Cat. No.99EX296).

[102]  Bruce Curry,et al.  Evaluating Kohonen's learning rule: An approach through genetic algorithms , 2004, Eur. J. Oper. Res..

[103]  Lakhmi C. Jain,et al.  Neural Network Training Using Genetic Algorithms , 1996 .

[104]  Tony R. Martinez,et al.  A General Evolutionary/Neural Hybrid Approach to Learning Optimization Problems , 1996 .

[105]  Bruce A. Whitehead,et al.  Cooperative-competitive genetic evolution of radial basis function centers and widths for time series prediction , 1996, IEEE Trans. Neural Networks.

[106]  Hugo de Garis,et al.  An artificial brain ATR's CAM-Brain Project aims to build/evolve an artificial brain with a million neural net modules inside a trillion cell Cellular Automata Machine , 1994, New Generation Computing.

[107]  Heikki N. Koivo,et al.  Optimization of Neural Network Topologies using Genetic Algorithm , 1999, Intell. Autom. Soft Comput..

[108]  S. S. Melsheimer,et al.  Using genetic algorithms to estimate the optimum width parameter in radial basis function networks , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[109]  Michael Scholz.  A Learning Strategy for Neural Networks Based on a Modified Evolutionary Strategy , 1990, PPSN.

[110]  Heinrich Braun,et al.  Optimizing Classifiers for Handwritten Digits by Genetic Algorithms , 1995, ICANNGA.

[111]  Antonia J. Jones,et al.  Neuro-genetic adaptive attitude control , 1994, Neural Computing & Applications.

[112]  P. M. Frank,et al.  Genetic evolving of dynamic neural networks with application to process fault diagnosis , 1999, 1999 European Control Conference (ECC).

[113]  Sergio Margarita.  NEURAL NETWORKS, GENETIC ALGORITHMS AND STOCK TRADING , 1991 .

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[115]  Oded Maimon,et al.  A Distributed Genetic Algorithm for Neural Network Design and Training , 1992, Complex Syst..

[116]  Ray J. Paul,et al.  Optimising a complex discrete event simulation model using a genetic algorithm , 2005, Neural Computing & Applications.

[117]  Jie-Gu Li,et al.  Determination of the topology and weights of the feedforward ANN by genetic evolution , 1997, Defense, Security, and Sensing.

[118]  Vasant Dhar,et al.  A comparison of nonlinear methods for predicting earnings surprises and returns , 2001, IEEE Trans. Neural Networks.

[119]  Shunichiro Oe,et al.  Texture segmentation method considering optimum number of segmentation areas by using neural networks , 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

[120]  Piero Fariselli,et al.  LGANN: a parallel system combining a local genetic algorithm and neural networks for the prediction of secondary structure of proteins , 1995, Comput. Appl. Biosci..

[121]  Kyu Ho Park,et al.  Fast learning method for back-propagation neural network by evolutionary adaptation of learning rates , 1996, Neurocomputing.

[122]  Wei Yan,et al.  A hybrid genetic/BP algorithm and its application for radar target classification , 1997, Proceedings of the IEEE 1997 National Aerospace and Electronics Conference. NAECON 1997.

[123]  W. Herrmann,et al.  On the Use of Neural Network Techniques to Analyze Sleep EEG Data , 1997, Neuropsychobiology.

[124]  C. Jacob,et al.  Typed expressions evolution of artificial nervous systems , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[125]  K. K. Kumar,et al.  Robust control using GA-optimized neural networks , 1994, 1994 Proceedings of IEEE International Conference on Control and Applications.

[126]  Richard J. Duro,et al.  Evolutionary generation and training of recurrent artificial neural networks , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

[127]  Seong-Gon Kong,et al.  Block-based neural networks , 2001, IEEE Trans. Neural Networks.

[128]  Inman Harvey,et al.  The artificial evolution of behaviour , 1991 .

[129]  Benjamin W. Wah,et al.  Global Optimization for Neural Network Training , 1996, Computer.

[130]  Beatrice M. Ombuki-Berman,et al.  Search Space Analysis of Recurrent Spiking and Continuous-time Neural Networks , 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

[131]  Fabio Roli,et al.  Stock Market Prediction by a Mixture of Genetic-Neural Experts , 2002, Int. J. Pattern Recognit. Artif. Intell..

[132]  A.I. Esparcia-Alcazar,et al.  Genetic programming techniques that evolve recurrent neural network architectures for signal processing , 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

[133]  Shumeet Baluja,et al.  Evolution of an artificial neural network based autonomous land vehicle controller , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[134]  Petya Ivanova.  Feature Selection for Neural Network Forecaster by Genetic Algorithms , 1995 .

[135]  Marc Thuillard.  Wavelets in Soft Computing , 2001, World Scientific Series in Robotics and Intelligent Systems.

[136]  Taghi M. Khoshgoftaar,et al.  Evolutionary neural networks: a robust approach to software reliability problems , 1997, Proceedings The Eighth International Symposium on Software Reliability Engineering.

[137]  Maya Gokhale,et al.  Optimizing Digital Hardware Perceptrons for Multi-Spectral Image Classification , 2003, Journal of Mathematical Imaging and Vision.

[138]  Olcay Akman,et al.  Natural Selection at Work: An Accelerated Evolutionary Computing Approach to Predictive Model Selection , 2010, Front. Neurosci..

[139]  Shiro Usui,et al.  Mutation-based genetic neural network , 2005, IEEE Transactions on Neural Networks.

[140]  R. Poli,et al.  Evolving neural networks using a dual representation with a combined crossover operator , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[141]  Cliff T. Ragsdale,et al.  Combining a neural network with a genetic algorithm for process parameter optimization , 2000 .

[142]  Michael A. H. Dempster,et al.  Computational learning techniques for intraday FX trading using popular technical indicators , 2001, IEEE Trans. Neural Networks.

[143]  R. Harrington,et al.  A hybrid artificial neural network/genetic algorithm approach to on-line switching operations for the optimization of electrical power systems , 1996, IECEC 96. Proceedings of the 31st Intersociety Energy Conversion Engineering Conference.

[144]  Martin Pelikan,et al.  Hill Climbing with Learning (An Abstraction of Genetic Algorithm) , 1995 .

[145]  Inman Harvey,et al.  General visual robot controller networks via artificial evolution , 1993, Other Conferences.

[146]  Ioannis B. Theocharis,et al.  Decision Fusion of GA Self-Organizing Neuro-Fuzzy Multilayered Classifiers for Land Cover Classification Using Textural and Spectral Features , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[147]  J. Seijas,et al.  Evolutive algorithms pioneering neural networks training for artificial vision applications , 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

[148]  Kyu Ho Park,et al.  Adaptive Learning-Rate Selection for BPNN Using Evolutionary Programming , 1998 .

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[150]  Shih-Lin Hung,et al.  Neural network and genetic learning algorithms for computer-aided design and pattern recognition , 1992 .

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[153]  D. T. Pham,et al.  Three methods of training multi-layer perceptrons to model a robot sensor , 1995, Robotica.

[154]  Marcel Rijckaert,et al.  Scalars, a way to improve the multi-objective prediction of the GAdC-method , 2000, Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks.

[155]  Toshio Fukuda,et al.  Dynamic memory by recurrent neural network and its learning by genetic algorithm , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[156]  Inman Harvey,et al.  Analysing recurrent dynamical networks evolved for robot control , 1993 .

[157]  Patrick K. Simpson,et al.  Dynamic Feature Set Training of Neural Nets for Classification , 1995, Evolutionary Programming.

[158]  Armando Blanco,et al.  A real-coded genetic algorithm for training recurrent neural networks , 2001, Neural Networks.

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[162]  David S. Feldman,et al.  Fuzzy Network Synthesis with Genetic Algorithms , 1993, ICGA.

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