Ebook: Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Norwich, U.K., 1997

This is the third in a series of conferences devoted primarily to the theory and applications of artificial neural networks and genetic algorithms. The first such event was held in Innsbruck, Austria, in April 1993, the second in Ales, France, in April 1995. We are pleased to host the 1997 event in the mediaeval city of Norwich, England, and to carryon the fine tradition set by its predecessors of providing a relaxed and stimulating environment for both established and emerging researchers working in these and other, related fields. This series of conferences is unique in recognising the relation between the two main themes of artificial neural networks and genetic algorithms, each having its origin in a natural process fundamental to life on earth, and each now well established as a paradigm fundamental to continuing technological development through the solution of complex, industrial, commercial and financial problems. This is well illustrated in this volume by the numerous applications of both paradigms to new and challenging problems. The third key theme of the series, therefore, is the integration of both technologies, either through the use of the genetic algorithm to construct the most effective network architecture for the problem in hand, or, more recently, the use of neural networks as approximate fitness functions for a genetic algorithm searching for good solutions in an 'incomplete' solution space, i.e. one for which the fitness is not easily established for every possible solution instance.

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Robotics and Sensors.- ANN (Artificial Neural Networks) Architectures.- Power Systems.- Evolware.- Vision.- Speech/Hearing.- Signal/Image Processing and Recognition.- Medical Applications.- GA (Genetic Algorithms) Theory and Operators.- GA Models/Representation.- GA Applications.- Parallel GAs.- Combinatorial Optimisation.- Scheduling/Timetabling.- Telecommunications – General and Frequency Assignment Problem.- Applications – General Heuristics.- Evolutionary ANNs.- Reinforcement Learning.- Genetic Programming.- ANN Applications.- Sequences/Time Series.- ANN Theory, Training and Models.- Classification.- Intelligent Data Analysis/Evolution Strategies.- Coevolution and Control.- Process Control/Modelling.- Learning Classifier Systems and Prisoner’s Dilemma.

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Robotics and Sensors.- ANN (Artificial Neural Networks) Architectures.- Power Systems.- Evolware.- Vision.- Speech/Hearing.- Signal/Image Processing and Recognition.- Medical Applications.- GA (Genetic Algorithms) Theory and Operators.- GA Models/Representation.- GA Applications.- Parallel GAs.- Combinatorial Optimisation.- Scheduling/Timetabling.- Telecommunications – General and Frequency Assignment Problem.- Applications – General Heuristics.- Evolutionary ANNs.- Reinforcement Learning.- Genetic Programming.- ANN Applications.- Sequences/Time Series.- ANN Theory, Training and Models.- Classification.- Intelligent Data Analysis/Evolution Strategies.- Coevolution and Control.- Process Control/Modelling.- Learning Classifier Systems and Prisoner’s Dilemma.
Content:
Front Matter....Pages i-xvi
Obstacle Identification by an Ultrasound Sensor Using Neural Networks....Pages 1-5
A Modular Reinforcement Learning Architecture for Mobile Robot Control....Pages 6-10
Timing without Time — An Experiment in Evolutionary Robotics....Pages 11-15
Incremental Acquisition of Complex Behaviour by Structured Evolution....Pages 16-20
Evolving Neural Controllers for Robot Manipulators....Pages 21-25
Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion....Pages 26-30
Ensembles of Neural Networks for Digital Problems....Pages 31-34
A Modular Neural Network Architecture with Additional Generalization Abilities for Large Input Vectors....Pages 35-39
Principal Components Identify MLP Hidden Layer Size for Optimal Generalisation Performance....Pages 40-43
Bernoulli Mixture Model of Experts for Supervised Pattern Classification....Pages 44-48
Electric Load Forecasting with Genetic Neural Networks....Pages 49-52
Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic Algorithm....Pages 53-57
Using Artificial Neural Networks to Model Non-Linearity in a Complex System....Pages 58-61
Transit Time Estimation by Artificial Neural Networks....Pages 62-65
Evolving Asynchronous and Scalable Non-uniform Cellular Automata....Pages 66-70
One-Chip Evolvable Hardware: 1C-EHW....Pages 71-77
Evolving Low-Level Vision Capabilities with the GENCODER Genetic Programming Environment....Pages 78-82
NLRFLA: A Supervised Learning Algorithm for the Development of Non-Linear Receptive Fields....Pages 83-87
Fuzzy-tuned Stochastic Scanpaths for AGV Vision....Pages 88-92
On VLSI Implementation of Multiple Output Sequential Learning Networks....Pages 93-97
Automated Parameter Selection for a Computer Simulation of Auditory Nerve Fibre Activity using Genetic Algorithms....Pages 98-102
Automatic Extraction of Phase and Frequency Information from Raw Voice Data....Pages 103-106
A Speech Recognition System using an Auditory Model and TOM Neural Network....Pages 107-111
Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis....Pages 112-115
Blind Source Separation via Unsupervised Learning....Pages 116-120
Neural Networks for Higher-Order Spectral Estimation....Pages 121-125
Estimation of Fractal Signals by Wavelets and GAs....Pages 126-128
Classification of 3-D Dendritic Spines using Self-Organizing Maps....Pages 129-132
Neural Network Analysis of Hue Spectra from Natural Images....Pages 133-137
Detecting Small Features in SAR Images by an ANN....Pages 138-142
Optimising Handwritten-Character Recognition with Logic Neural Networks....Pages 143-146
Combined Neural Network Models for Epidemiological Data: Modelling Heterogeneity and Reduction of Input Correlations....Pages 147-151
A Hybrid Expert System Architecture for Medical Diagnosis....Pages 152-156
Enhancing Connectionist Expert Systems by IAC Models through Real Cases....Pages 157-160
A Schema Theorem-Type Result for Multidimensional Crossover....Pages 161-165
M?bius Crossover and Excursion Set Mediated Genetic Algorithms....Pages 166-170
The Single Chromosome’s Guide to Dating....Pages 171-174
A Fuzzy Taguchi Controller to Improve Genetic Algorithm Parameter Selection....Pages 175-178
Walsh Functions and Predicting Problem Complexity....Pages 179-182
Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms....Pages 183-187
Dual Genetic Algorithms and Pareto Optimization....Pages 188-192
Multi-layered Niche Formation....Pages 193-197
Using Hierarchical Genetic Populations to Improve Solution Quality....Pages 198-201
A Redundant Representation for use by Genetic Algorithms on Parameter Optimisation Problems....Pages 202-205
A Genetic Algorithm for Learning Weights in a Similarity Function....Pages 206-209
Learning SCFGs from Corpora by a Genetic Algorithm....Pages 210-214
Adaptive Product Optimization and Simultaneous Customer Segmentation: A Hospitality Product Design Study with Genetic Algorithms....Pages 215-218
Genetic Algorithm Utilising Neural Network Fitness Evaluation for Musical Composition....Pages 219-223
Analyses of Simple Genetic Algorithms and Island Model Parallel Genetic Algorithms....Pages 224-228
Supervised Parallel Genetic Algorithms in Aerodynamic Optimisation....Pages 229-233
A Genetic Clustering Method for the Multi-Depot Vehicle Routing Problem....Pages 234-237
A Hybrid Genetic / Branch and Bound Algorithm for Integer Programming....Pages 238-240
Breeding Perturbed City Coordinates and Fooling Travelling Salesman Heuristic Algorithms....Pages 241-244
Improvements on the Ant-System: Introducing the MAX-MIN Ant System....Pages 245-249
A Hybrid Genetic Algorithm for the 0–1 Multiple Knapsack Problem....Pages 250-254
Genetic Algorithms in the Elevator Allocation Problem....Pages 255-258
Generational and Steady-State Genetic Algorithms for Generator Maintenance Scheduling Problems....Pages 259-263
Four Methods for Maintenance Scheduling....Pages 264-269
A Genetic Algorithm for the Generic Crew Scheduling Problem....Pages 270-274
Genetic Algorithms and the Timetabling Problem....Pages 275-280
Evolutionary Approaches to the Partition/Timetabling Problem....Pages 281-284
Discovering Simple Fault-Tolerant Routing Rules by Genetic Programming....Pages 285-288
The Ring-Loading and Ring-Sizing Problem....Pages 289-293
Evolutionary Computation Techniques for Telephone Networks Traffic Supervision Based on a Qualitative Stream Propagation Model....Pages 294-298
NOMaD: Applying a Genetic Algorithm/Heuristic Hybrid Approach to Optical Network Topology Design....Pages 299-303
Application of a Genetic Algorithm to the Availability-Cost Optimization of a Transmission Network Topology....Pages 304-307
Breeding Permutations for Minimum Span Frequency Assignment....Pages 308-311
A Practical Frequency Planning Technique for Cellular Radio....Pages 312-316
Chaotic Neurodynamics in the Frequency Assignment Problem....Pages 317-320
A Divide-and-Conquer Technique to Solve the Frequency Assignment Problem....Pages 321-324
Genetic Algorithm Based Software Testing....Pages 325-328
An Evolutionary/Meta-Heuristic Approach to Emergency Resource Redistribution in the Developing World....Pages 329-332
Automated Design of Combinational Logic Circuits by Genetic Algorithms....Pages 333-336
Forecasting of the Nile River Inflows by Genetic Algorithms....Pages 337-340
A Comparative Study of Neural Network Optimization Techniques....Pages 341-345
GA-RBF: A Self-Optimising RBF Network....Pages 346-349
Canonical Genetic Learning of RBF Networks Is Faster....Pages 350-353
The Baldwin Effect on the Evolution of Associative Memory....Pages 354-358
Using Embryology as an Alternative to Genetic Algorithms for Designing Artificial Neural Network Topologies....Pages 359-363
Empirical Study of the Influences of Genetic Parameters in the Training of a Neural Network....Pages 364-367
Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as Encoding....Pages 368-372
Using Genetic Engineering To Find Modular Structures for Architectures of Artificial Neural Networks....Pages 373-377
Evolutionary Learning of Recurrent Networks by Successive Orthogonal Inverse Approximations....Pages 378-383
Evolutionary Optimization of Neural Networks for Reinforcement Learning Algorithms....Pages 384-388
Generalising Experience in Reinforcement Learning: Performance in Partially Observable Processes....Pages 389-392
Optimal Control of an Inverted Pendulum by Genetic Programming: Practical Aspects....Pages 393-396
Evolutionary Artificial Neural Networks and Genetic Programming: A Comparative Study Based on Financial Data....Pages 397-400
A Canonical Genetic Algorithm Based Approach to Genetic Programming....Pages 401-404
Is Genetic Programming Dependent on High-level Primitives?....Pages 405-408
DGP: How To Improve Genetic Programming with Duals....Pages 409-413
Fitness Landscapes and Inductive Genetic Programming....Pages 414-418
Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming....Pages 419-423
A Neural Network Technique for Detecting and Modelling Residential Property Sub-Markets....Pages 424-427
Versatile Graph Planarisation via an Artificial Neural Network....Pages 428-431
Artificial Neural Networks for Generic Predictive Maintenance....Pages 432-435
The Effect of Recurrent Networks on Policy Improvement in Polling Systems....Pages 436-439
EXPRESS — A Strategic Software System for Equity Valuation....Pages 440-444
Virtual Table Tennis and the Design of Neural Network Players....Pages 445-448
Investigating Arbitration Strategies in an Animat Navigation System....Pages 449-453
Sequence Clustering by Time Delay Networks....Pages 454-458
Modeling Complex Symbolic Sequences with Neural Based Systems....Pages 459-463
An Unsupervised Neural Method for Time Series Analysis, Characterisation and Prediction....Pages 464-467
Time-Series Prediction with Neural Networks: Combinatorial versus Sequential Approach....Pages 468-472
Predicting Conditional Probability Densities with the Gaussian Mixture — RVFL Network....Pages 473-476
An Artificial Neuron with Quantum Mechanical Properties....Pages 477-481
Computation of Weighted Sum by Physical Wave Properties — Coding Problems by Unit Positions....Pages 482-485
Some Analytical Results for a Recurrent Neural Network Producing Oscillations....Pages 486-490
Upper Bounds on the Approximation Rates of Real-valued Boolean Functions by Neural Networks....Pages 491-494
A Method for Task Allocation in Modular Neural Network with an Information Criterion....Pages 495-499
A Meta Neural Network Polling System for the RPROP Learning Rule....Pages 500-504
Designing Development Rules for Artificial Evolution....Pages 505-508
Improved Center Point Selection for Probabilistic Neural Networks....Pages 509-513
The Evolution of a Feedforward Neural Network trained under Backpropagation....Pages 514-517
Fuzzy Vector Bundles for Classification via Neural Networks....Pages 518-522
A Constructive Algorithm for Real Valued Multi-category Classification Problems....Pages 523-526
Classification of Thermal Profiles in Blast Furnace Walls by Neural Networks....Pages 527-531
Geometrical Selection of Important Inputs with Feedforward Neural Networks....Pages 532-534
Classifier Systems Based on Possibility Distributions: A Comparative Study....Pages 535-538
Learning by Co-operation: Combining Multiple Computationally Intelligent Programs into a Computational Network....Pages 539-542
Comparing a Variety of Evolutionary Algorithm Techniques on a Collection of Rule Induction Tasks....Pages 543-546
An Investigation into the Performance and Representations of a Stochastic, Evolutionary Neural Tree....Pages 547-550
Experimental Results of a Michigan-like Evolution Strategy for Non-stationary Clustering....Pages 551-554
Excursion Set Mediated Evolutionary Strategy....Pages 555-559
Use of Mutual Information to Extract Rules from Artificial Neural Networks....Pages 560-564
Connectionism and Symbolism in Symbiosis....Pages 565-569
Genetic Design of Robust PID Controllers....Pages 570-574
Coevolutionary Process Control....Pages 575-578
Cooperative Coevolution in Inventory Control Optimisation....Pages 579-582
Dynamic Neural Nets in the State Space Utilized in Non-Linear Process Identification....Pages 583-587
Distal Learning for Inverse Modeling of Dynamical Systems....Pages 588-591
Genetic Algorithms in Structure Identification for NARX Models....Pages 592-596
A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment....Pages 597-600
MIMO Fuzzy Logic Control of a Liquid Level Process....Pages 601-605
A Practical Application of a Learning Classifier System in a Steel Hot Strip Mill....Pages 606-610
Multi-Agent Classifier Systems and the Iterated Prisoner’s Dilemma....Pages 611-614
Complexity Cost and Two Types of Noise in the Repeated Prisoner’s Dilemma....Pages 615-618
Back Matter....Pages 619-623
....Pages 624-639