Artificial Neural Nets and Genetic Algorithms

This volume comprises papers from the International Conference on Artificial Neural Nets and Genetic Algorithms. Topics covered include: robotics and sensors; power systems; evolware; vision; medical applications; Ga applications; parallel Gas; and combinatorial optimization.

Obstacle Identification by an Ultrasound Sensor Using Neural Networks.- A Modular Reinforcement Learning Architecture for Mobile Robot Control.- Timing without Time — An Experiment in Evolutionary Robotics.- Incremental Acquisition of Complex Behaviour by Structured Evolution.- Evolving Neural Controllers for Robot Manipulators.- Using Genetic Algorithms with Variable-length Individuals for Planning Two-Manipulators Motion.- Ensembles of Neural Networks for Digital Problems.- A Modular Neural Network Architecture with Additional Generalization Abilities for Large Input Vectors.- Principal Components Identify MLP Hidden Layer Size for Optimal Generalisation Performance.- Bernoulli Mixture Model of Experts for Supervised Pattern Classification.- Electric Load Forecasting with Genetic Neural Networks.- Multiobjective Pressurised Water Reactor Reload Core Design Using a Genetic Algorithm.- Using Artificial Neural Networks to Model Non-Linearity in a Complex System.- Transit Time Estimation by Artificial Neural Networks.- Evolving Asynchronous and Scalable Non-uniform Cellular Automata.- One-Chip Evolvable Hardware: 1C-EHW.- Evolving Low-Level Vision Capabilities with the GENCODER Genetic Programming Environment.- NLRFLA: A Supervised Learning Algorithm for the Development of Non-Linear Receptive Fields.- Fuzzy-tuned Stochastic Scanpaths for AGV Vision.- On VLSI Implementation of Multiple Output Sequential Learning Networks.- Automated Parameter Selection for a Computer Simulation of Auditory Nerve Fibre Activity using Genetic Algorithms.- Automatic Extraction of Phase and Frequency Information from Raw Voice Data.- A Speech Recognition System using an Auditory Model and TOM Neural Network.- Fahlman-Type Activation Functions Applied to Nonlinear PCA Networks Provide a Generalised Independent Component Analysis.- Blind Source Separation via Unsupervised Learning.- Neural Networks for Higher-Order Spectral Estimation.- Estimation of Fractal Signals by Wavelets and GAs.- Classification of 3-D Dendritic Spines using Self-Organizing Maps.- Neural Network Analysis of Hue Spectra from Natural Images.- Detecting Small Features in SAR Images by an ANN.- Optimising Handwritten-Character Recognition with Logic Neural Networks.- Combined Neural Network Models for Epidemiological Data: Modelling Heterogeneity and Reduction of Input Correlations.- A Hybrid Expert System Architecture for Medical Diagnosis.- Enhancing Connectionist Expert Systems by IAC Models through Real Cases.- A Schema Theorem-Type Result for Multidimensional Crossover.- Möbius Crossover and Excursion Set Mediated Genetic Algorithms.- The Single Chromosome’s Guide to Dating.- A Fuzzy Taguchi Controller to Improve Genetic Algorithm Parameter Selection.- Walsh Functions and Predicting Problem Complexity.- Migration through Mutation Space: A Means of Accelerating Convergence in Evolutionary Algorithms.- Dual Genetic Algorithms and Pareto Optimization.- Multi-layered Niche Formation.- Using Hierarchical Genetic Populations to Improve Solution Quality.- A Redundant Representation for Use by Genetic Algorithms on Parameter Optimisation Problems.- A Genetic Algorithm for Learning Weights in a Similarity Function.- Learning SCFGs from Corpora by a Genetic Algorithm.- Adaptive Product Optimization and Simultaneous Customer Segmentation: A Hospitality Product Design Study with Genetic Algorithms.- Genetic Algorithm Utilising Neural Network Fitness Evaluation for Musical Composition.- Analyses of Simple Genetic Algorithms and Island Model Parallel Genetic Algorithms.- Supervised Parallel Genetic Algorithms in Aerodynamic Optimisation.- A Genetic Clustering Method for the Multi-Depot Vehicle Routing Problem.- A Hybrid Genetic / Branch and Bound Algorithm for Integer Programming.- Breeding Perturbed City Coordinates and Fooling Travelling Salesman Heuristic Algorithms.- Improvements on the Ant-System: Introducing the MAX-MIN Ant System.- A Hybrid Genetic Algorithm for the 0-1 Multiple Knapsack Problem.- Genetic Algorithms in the Elevator Allocation Problem.- Generational and Steady-State Genetic Algorithms for Generator Maintenance Scheduling Problems.- Four Methods for Maintenance Scheduling.- A Genetic Algorithm for the Generic Crew Scheduling Problem.- Genetic Algorithms and the Timetabling Problem.- Evolutionary Approaches to the Partition/Timetabling Problem.- Discovering Simple Fault-Tolerant Routing Rules by Genetic Programming.- The Ring-Loading and Ring-Sizing Problem.- Evolutionary Computation Techniques for Telephone Networks Traffic Supervision Based on a Qualitative Stream Propagation Model.- NOMaD: Applying a Genetic Algorithm/Heuristic Hybrid Approach to Optical Network Topology Design.- Application of a Genetic Algorithm to the Availability-Cost Optimization of a Transmission Network Topology.- Breeding Permutations for Minimum Span Frequency Assignment.- A Practical Frequency Planning Technique for Cellular Radio.- Chaotic Neurodynamics in the Frequency Assignment Problem.- A Divide-and-Conquer Technique to Solve the Frequency Assignment Problem.- Genetic Algorithm Based Software Testing.- An Evolutionary/Meta-Heuristic Approach to Emergency Resource Redistribution in the Developing World.- Automated Design of Combinational Logic Circuits by Genetic Algorithms.- Forecasting of the Nile River Inflows by Genetic Algorithms.- A Comparative Study of Neural Network Optimization Techniques.- GA-RBF: A Self-Optimising RBF Network.- Canonical Genetic Learning of RBF Networks Is Faster.- The Baldwin Effect on the Evolution of Associative Memory.- Using Embryology as an Alternative to Genetic Algorithms for Designing Artificial Neural Network Topologies.- Empirical Study of the Influences of Genetic Parameters in the Training of a Neural Network.- Evolutionary Optimization of the Structure of Neural Networks by a Recursive Mapping as Encoding.- Using Genetic Engineering To Find Modular Structures for Architectures of Artificial Neural Networks.- Evolutionary Learning of Recurrent Networks by Successive Orthogonal Inverse Approximations.- Evolutionary Optimization of Neural Networks for Reinforcement Learning Algorithms.- Generalising Experience in Reinforcement Learning: Performance in Partially Observable Processes.- Optimal Control of an Inverted Pendulum by Genetic Programming: Practical Aspects.- Evolutionary Artificial Neural Networks and Genetic Programming: A Comparative Study Based on Financial Data.- A Canonical Genetic Algorithm Based Approach to Genetic Programming.- Is Genetic Programming Dependent on High-level Primitives.- DGP: How To Improve Genetic Programming with Duals.- Fitness Landscapes and Inductive Genetic Programming.- Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming.- A Neural Network Technique for Detecting and Modelling Residential Property Sub-Markets.- Versatile Graph Planarisation via an Artificial Neural Network.- Artificial Neural Networks for Generic Predictive Maintenance.- The Effect of Recurrent Networks on Policy Improvement in Polling Systems.- EXPRESS — A Strategic Software System for Equity Valuation.- Virtual Table Tennis and the Design of Neural Network Players.- Investigating Arbitration Strategies in an Animat Navigation System.- Sequence Clustering by Time Delay Networks.- Modeling Complex Symbolic Sequences with Neural Based Systems.- An Unsupervised Neural Method for Time Series Analysis, Characterisation and Prediction.- Time-Series Prediction with Neural Networks: Combinatorial versus Sequential Approach.- A New Method for Defining Parameters to SETAR(2;k1,k2)-models.- Predicting Conditional Probability Densities with the Gaussian Mixture-sRVFL Network.- An Artificial Neuron with Quantum Mechanical Properties.- Computation of Weighted Sum by Physical. Wave Properties-Coding Problems by Unit Positions.- Some Analytical Results for a Recurrent Neural Network Producing Oscillations.- Upper Bounds on the Approximation Rates of Real-valued Boolean Functions by Neural Networks.- A Method for Task Allocation in Modular Neural Network with an Information Criterion.- A Meta Neural Network Polling System for the RPROP Learning Rule.- Designing Development Rules for Artificial Evolution.- Improved Center Point Selection for Probabilistic Neural Networks.- The Evolution of a Feedforward Neural Network trained under Backpropagation.- Fuzzy Vector Bundles for Classification via Neural Networks.- A Constructive Algorithm for Real Valued Multi-category Classification Problems.- Classification of Thermal Profiles in Blast Furnace Walls by Neural Networks.- Geometrical Selection of Important Inputs with Feedforward Neural Networks.- Classifier Systems Based on Possibility Distributions: A Comparative Study.- Learning by Co-operation: Combining Multiple Computationally Intelligent Programs into a Computational Network.- Comparing a Variety of Evolutionary Algorithm Techniques on a Collection of Rule Induction Tasks.- An Investigation into the Performance and Representations of a Stochastic, Evolutionary Neural Tree.- Experimental Results of a Michigan-like Evolution Strategy for Non-stationary Clustering.- Excursion Set Mediated Evolutionary Strategy.- Use of Mutual Information to Extract Rules from Artificial Neural Networks.- Connectionism and Symbolism in Symbiosis.- Genetic Design of Robust PID Controllers.- Coevolutionary Process Control.- Cooperative Coevolution in Inventory Control Optimisation.- Dynamic Neural Nets in the State Space Utilized in Non-Linear Process Identification.- Distal Learning for Inverse Modeling of Dynamical Systems.- Genetic Algorithms in Structure Identification for NARX Models.- A Model-based Neural Network Controller for a Process Trainer Laboratory Equipment.- MIMO Fuzzy Logic Control of a Liquid Level Process.- A Practical Application of a Learning Classifier System in a Steel Hot Strip Mill.- Muiti-Agent Classifier Systems and the Iterated Prisoner’s Dilemma.- Complexity Cost and Two Types of Noise in the Repeated Prisoner’s Dilemma.- Workshop Summary.- Plenary Lectures.