Simulated Evolution and Learning: Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, November 24-27, 1998 Selected Papers: Lecture Notes in Computer Science, cartea 1585
Editat de Bob McKay, Xin Yao, Charles S. Newton, Jong-Hwan Kim, Takeshi Furuhashien Limba Engleză Paperback – 26 mai 1999
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Specificații
ISBN-13: 9783540659075
ISBN-10: 3540659072
Pagini: 492
Ilustrații: XIV, 478 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.68 kg
Ediția:1999
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540659072
Pagini: 492
Ilustrații: XIV, 478 p.
Dimensiuni: 155 x 235 x 26 mm
Greutate: 0.68 kg
Ediția:1999
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.