Simulated evolution and learning : Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 98, Canberra, Australia, November 24 27, 1998 : selected papers

This volume contains selected papers presented at the Second Asia-Paci c C- ference on Simulated Evolution and Learning (SEAL 98), from 24 to 27 Nov- ber 1998, in Canberra, Australia. SEAL 98 received a total of 92 submissions (67 papers for the regular sessions and 25 for the applications sessions)...

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Bibliografiske detaljer
Institution som forfatter: Asia-Pacific Conference on Simulated evolution and learning :Canberra
Andre forfattere: McKay, Bob (Directeur de la publication), Yao, Xin, 1962- (Directeur de la publication), Newton, Charles S., 1942- (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Serier:Lecture notes in computer science. Lecture notes in artificial intelligence 1585
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Edition sous un autre format:• Simulated evolution and learning, Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL '98, Canberra, Australia, November 24-27, 1998, selected papers, Bob McKay,... Xin Yao,...Charles S. Newton,... [et al.] (eds.), 1999, New York, Springer, 1 vol. (XIII-472 p.), Lecture notes in computer science, 3-540-65907-2
• Simulated Evolution and Learning, Texte imprimé, 9783662182109
Indholdsfortegnelse:
  • 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 andFeature 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.