Simulated Evolution and Learning

This book constitutes the refereed post-workshop proceedings of the Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL '98, held in Canberra, Australia in November 1998. The 59 revised papers presented were carefully selected during two rounds of reviewing from a total of initially 92 submissions. The book covers a wide range of topics in simulated evolution and learning, from self-adaption to dynamic modelling, from reinforcement learning to agent systems, from evolutionary games to evolutionary economics, from theoretical results to successful applications, etc.

Natural Computation.- Multiple Lagrange Multiplier Method for Constrained Evolutionary Optimization.- Robust Evolution Strategies.- Hybrid Genetic Algorithm for Solving the p-Median Problem.- Correction of Reflection Lines Using Genetic Algorithms.- Adaptation under Changing Environments with Various Rates of Inheritance of Acquired Characters.- Dynamic Control of Adaptive Parameters in Evolutionary Programming.- Information Operator Scheduling by Genetic Algorithms.- Solving Radial Topology Constrained Problems with Evolutionary Algorithms.- Automating Space Allocation in Higher Education.- Application of Genetic Algorithm and k-Nearest Neighbour Method in Medical Fraud Detection.- Evolution of Reference Sets in Nearest Neighbor Classification.- Investigation of a Cellular Genetic Algorithm that Mimics Landscape Ecology.- Quantifying Neighborhood Preservation: Joint Properties of Evolutionary and Unsupervised Neural Learning.- Neural Networks and Evolutionary Algorithms for the Prediction of Thermodynamic Properties for Chemical Engineering.- Evolving FPGA Based Cellular Automata.- Asynchronous Island Parallel GA Using Multiform Subpopulations.- Multiple Sequence Alignment Using Parallel Genetic Algorithms.- Evolving Logic Programs to Classify Chess-Endgame Positions.- Genetic Programming with Active Data Selection.- Evolutionary Programming-Based Uni-vector Field Method for Fast Mobile Robot Navigation.- Evolution with Learning Adaptive Functions.- Modelling Plant Breeding Programs as Search Strategies on a Complex Response Surface.- Generating Equations with Genetic Programming for Control of a Movable Inverted Pendulum.- A Hybrid Tabu Search Algorithm for the Nurse Rostering Problem.- Reinforcement Learning: Past, Present and Future.- A Reinforcement Learning with Condition Reduced Fuzz Rules.- Generality and Conciseness of Submodels in Hierarchical Fuzzy Modeling.- Using Evolutionary Programming to Optimize the Allocation of Surveillance Assets.- Applying the Evolutionary Neural Networks with Genetic Algorithms to Control a Rolling Inverted Pendulum.- Evolving Cooperative Actions Among Heterogeneous Agents by an Evolutionary Programming Method.- Cooperative Works for Welfare Agent Robot and Human Using Chaotic Evolutionary Computation.- Evolutionary Computation for Intelligent Agents Based on Chaotic Retrieval and Soft DNA.- A Study of Bayesian Clustering of a Document Set Based on GA.- An Evolutionary Approach in Quantitative Spectroscopy.- Evolutionary Recognition of Features from CAD Data.- Modeling Strategies as Generous and Greedy in Prisoner’s Dilemma Like Games.- Using Genetic Algorithms to Simulate the Evolution of an Oligopoly Game.- An Evolutionary Study on Cooperation in N-person Iterated Prisoner’s Dilemma Game.- Simulating a N-person Multi-stage Game for Making a State.- Learning from Linguistic Rules and Rule Extraction for Function Approximation by Neural Networks.- Can a Niching Method Locate Multiple Attractors Embedded in the Hopfield Network?.- Time Series Prediction by Using Negatively Correlated Neural Networks.- Animating the Evolution Process of Genetic Algorithms.- Analysis on the Island Model Parallel Genetic Algorithms for the Genetic Drifts.- A Paradox of Neural Encoders and Decoders or Why Don’t We Talk Backwards?.- Continuous Optimization Using Elite Genetic Algorithms With Adaptive Mutations.- Evolutionary Systems Applied to the Synthesis of a CPU Controller.- Novel Models in Evolutionary Designing.- Co-evolution, Determinism and Robustness.- Co-operative Evolution of a Neural Classifier and Feature Subset.- Optimal Power Flow Method Using Evolutionary Programming.- Grammatical Development of Evolutionary Modular Neural Networks.- Hybridized Neural Network and Genetic Algorithms for Solving Nonlinear Integer Programming Problem.- Evolution of Gene Coordination Networks.- Adaptive Simulation: An Implementation Framework.- A Model of Mutual Associative Memory for Simulations of Evolution and Learning.- The Application of Cellular Automata to the Consumer’s Theory: Simulating a Duopolistic Market.- Object-Oriented Genetic Algorithm Based Artificial Neural Network for Load Forecasting.