Vor Ort
Merkzettel Warenkorb

Gutscheinbedingungen

**Gültig bis 06.07.2026 auf fremdsprachige Bücher online auf thalia.at, in der Thalia App ab einem Mindestbestellwert von 30€ und in allen Thalia Buchhandlungen in Österreich. In den Buchhandlungen nur gültig auf lagernde Ware. Einzelne Artikel können ausgeschlossen sein. Ausgenommen sind preisgebundene Artikel & eBooks. Pro Einkauf einmal einlösbar. Nur gültig gegen Vorlage oder im Onlineshop hinterlegter Bonuscard. Infos zur Einlösung in der Buchhandlung sind auf der Bonuscard-Vorteilspreisseite zu finden. Click & Collect nur bei Onlinevorabzahlung möglich. Keine Einlösung bei Scan & Go-Bezahlung. Keine Barauszahlung. Nicht kombinierbar mit anderen Aktionen und Gutscheinen. Gutschein wird auf max. 500€ Bestellwert angerechnet. Nicht gültig für Versandkosten und Services.
  • Produktbild: Simulated Evolution and Learning
  • Produktbild: Simulated Evolution and Learning

Simulated Evolution and Learning 2nd Asia-Pacific Conference on Simulated Evolution and Learning, SEAL '98, Canberra, Australia, November 24-27, 1999. Selected Papers

Aus der Reihe Lecture Notes in Computer Science

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.05.1999

Herausgeber

Bob McKay + weitere

Verlag

Springer Berlin

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

739 g

Auflage

1999

Sprache

Englisch

ISBN

978-3-540-65907-5

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.05.1999

Herausgeber

Verlag

Springer Berlin

Seitenzahl

478

Maße (L/B/H)

23,5/15,5/2,6 cm

Gewicht

739 g

Auflage

1999

Sprache

Englisch

ISBN

978-3-540-65907-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Simulated Evolution and Learning
  • Produktbild: Simulated Evolution and Learning
  • 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.