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Artificial Intelligence, Evolutionary Computing and Metaheuristics

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Cover of 'Artificial Intelligence, Evolutionary Computing and Metaheuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Turing Test as a Defining Feature of AI-Completeness
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    Chapter 2 Artificial Intelligence Evolved from Random Behaviour: Departure from the State of the Art
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    Chapter 3 Turing: Then, Now and Still Key
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    Chapter 4 Imitation Programming Unorganised Machines
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    Chapter 5 Towards Machine Equivalent Consciousness
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    Chapter 6 Multicriteria Models for Learning Ordinal Data: A Literature Review
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    Chapter 7 Diophantine and Lattice Cryptanalysis of the RSA Cryptosystem
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    Chapter 8 Artificial Intelligence Methods in Early Childhood Education
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    Chapter 9 Recursively Generated Evolutionary Turing Machines and Evolutionary Automata
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    Chapter 10 On Dynamical Systems of Large Girth or Cycle Indicator and Their Applications to Multivariate Cryptography
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    Chapter 11 On Extremal Graph Theory, Explicit Algebraic Constructions of Extremal Graphs and Corresponding Turing Encryption Machines
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    Chapter 12 AIML Knowledge Base Construction from Text Corpora
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    Chapter 13 Multidisciplinary Trends in Modern Artificial Intelligence: Turing’s Way
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    Chapter 14 An Overview of Computational Sparse Models and Their Applications in Artificial Intelligence
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    Chapter 15 MiTS in Depth: An Analysis of Distinct Tabu Search Configurations for Constructing Mixed Covering Arrays
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    Chapter 16 Metaheuristic Optimization: Nature-Inspired Algorithms and Applications
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    Chapter 17 Bat Algorithm and Cuckoo Search: A Tutorial
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    Chapter 18 Memory and Learning in Metaheuristics
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    Chapter 19 On Some Aspects of Nature-Based Algorithms to Solve Multi-Objective Problems
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    Chapter 20 Image Processing with Spiking Neuron Networks
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    Chapter 21 Circle Detection on Images Using Learning Automata
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    Chapter 22 Decision Incorporation in Meta-heuristics to Cope with Decision Scheduling Problems
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    Chapter 23 Evolutionary Models for Agent-Based Complex Behavior Modeling
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    Chapter 24 Bankruptcy Prediction for Banks: An Artificial Intelligence Approach to Improve Understandability
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    Chapter 25 Neural Network Based Approaches for Network Traffic Prediction
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    Chapter 26 Application of Bat Algorithm and Fuzzy Systems to Model Exergy Changes in a Gas Turbine
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    Chapter 27 A KBRL Inference Metaheuristic with Applications
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    Chapter 28 Multi-objective Simulated Annealing Algorithm for Partner Selection in Virtual Enterprises
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    Chapter 29 Metaheuristic Approaches for the Winner Determination Problem in Combinatorial Auction
Overall attention for this book and its chapters
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Citations

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Title
Artificial Intelligence, Evolutionary Computing and Metaheuristics
Published by
Springer-Verlag Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-29694-9
ISBNs
978-3-64-229693-2, 978-3-64-229694-9, 978-3-64-243703-8
Editors

Xin-She Yang

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 2%
Unknown 50 98%
Readers by discipline Count As %
Computer Science 1 2%
Unknown 50 98%