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Produktbild: Advances in Evolutionary Computing
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Advances in Evolutionary Computing Theory and Applications

Aus der Reihe Natural Computing Series
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143,99 € UVP 160,49 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.11.2012

Abbildungen

XVI, 1006 p.

Herausgeber

Ashish Ghosh + weitere

Verlag

Springer Berlin

Seitenzahl

1006

Maße (L/B/H)

23,5/15,5/5,7 cm

Gewicht

1565 g

Auflage

Softcover reprint of the original 1st edition 2003

Sprache

Englisch

ISBN

978-3-642-62386-8

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

06.11.2012

Abbildungen

XVI, 1006 p.

Herausgeber

Verlag

Springer Berlin

Seitenzahl

1006

Maße (L/B/H)

23,5/15,5/5,7 cm

Gewicht

1565 g

Auflage

Softcover reprint of the original 1st edition 2003

Sprache

Englisch

ISBN

978-3-642-62386-8

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Advances in Evolutionary Computing
  • I.- Smoothness, Ruggedness and Neutrality of Fitness Landscapes: from Theory to Application.- Fast Evolutionary Algorithms.- Visualizing Evolutionary Computation.- New Schemes of Biologically Inspired Evolutionary Computation.- On the Design of Problem-specific Evolutionary Algorithms.- Multiparent Recombination in Evolutionary Computing.- TCG-2: A Test-case Generator for Non-linear Parameter Optimisation Techniques.- A Real-coded Genetic Algorithm Using the Unimodal Normal Distribution Crossover.- Designing Evolutionary Algorithms for Dynamic Optimization Problems.- Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions.- Gene Expression and Scalable Genetic Search.- Solving Permutation Problems with the Ordering Messy Genetic Algorithm.- Effects of Adding Perturbations to Phenotypic Parameters in Genetic Algorithms for Searching Robust Solutions.- Evolution of Strategies for Resource Protection Problems.- A Unified Bayesian Framework for EvolutionaryLearning and Optimization.- Designed Sampling with Crossover Operators.- Evolutionary Computation for Evolutionary Theory.- Computational Embryology: Past, Present and Future.- An Evolutionary Approach to Synthetic Biology: Zen in the Art of Creating Life.- Scatter Search.- The Ant Colony Optimization Paradigm for Combinatorial Optimization.- Evolving Coordinated Agents.- Exploring the Predictable.- II.- Approaches to Combining Local and Evolutionary Search for Training Neural Networks: A Review and Some New Results.- Evolving Analog Circuits by Variable Length Chromosomes.- Human-competitive Applications of Genetic Programming.- Evolutionary Algorithms for the Physical Design of VLSI Circuits.- From Theory to Practice: An Evolutionary Algorithm for the Antenna Placement Problem.- Routing Optimization in Corporate Networks by Evolutionary Algorithms.- Genetic Algorithms and Timetabling.- Machine Learning by Schedule Decomposition — Prospects for an Integration of AI and OR Techniquesfor Job Shop Scheduling.- Scheduling of Bus Drivers’ Service by a Genetic Algorithm.- A Survey of Evolutionary Algorithms for Data Mining and Knowledge Discovery.- Data Mining from Clinical Data Using Interactive Evolutionary Computation.- Learning-integrated Interactive Image Segmentation.- An Immunogenetic Approach in Chemical Spectrum Recognition.- Application of Evolutionary Computation to Protein Folding.- Evolutionary Generation of Regrasping Motion.- Recent Trends in Learning Classifier Systems Research.- Better than Samuel: Evolving a Nearly Expert Checkers Player.