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" Theoretical aspects of evolutionary computing "
Leila Kallel, Bart Naudts, Alex Rogers (eds.).
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BL
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| Record Number
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759374
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b579345
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| Main Entry
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Leila Kallel, Bart Naudts, Alex Rogers (eds.).
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| Title & Author
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Theoretical aspects of evolutionary computing\ Leila Kallel, Bart Naudts, Alex Rogers (eds.).
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| Publication Statement
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Berlin ; New York : Springer Berlin Heidelberg, 2001. ©2001
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| Series Statement
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Natural computing series.
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| Page. NO
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(x, 499 pages)
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| ISBN
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366204448X
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: 9783662044483
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| Contents
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I: Tutorials --; to Evolutionary Computing in Design Search and Optimisation --; Evolutionary Algorithms and Constraint Satisfaction: Definitions, Survey, Methodology, and Research Directions --; The Dynamical Systems Model of the Simple Genetic Algorithm --; Modelling Genetic Algorithm Dynamics --; Statistical Mechanics Theory of Genetic Algorithms --; Theory of Evolution Strategies --; A Tutorial --; Evolutionary Algorithms: From Recombination to Search Distributions --; Properties of Fitness Functions and Search Landscapes --; II: Technical Papers --; A Solvable Model of a Hard Optimisation Problem --; Bimodal Performance Profile of Evolutionary Search and the Effects of Crossover --; Evolution Strategies in Noisy Environments --; A Survey of Existing Work --; Cyclic Attractors and Quasispecies Adaptability --; Genetic Algorithms in Time-Dependent Environments --; Statistical Machine Learning and Combinatorial Optimization --; Multi-Parent Scanning Crossover and Genetic Drift --; Harmonic Recombination for Evolutionary Computation --; How to Detect all Maxima of a Function --; On Classifications of Fitness Functions --; Genetic Search on Highly Symmetric Solution Spaces: Preliminary Results --; Structure Optimization and Isomorphisms --; Detecting Spin-Flip Symmetry in Optimization Problems --; Asymptotic Results for Genetic Algorithms with Applications to Nonlinear Estimation.
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| Abstract
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This book is the first in the field to provide extensive, entry level tutorials to the theory of Evolutionary Computing, covering the main approaches to understanding the dynamics of Evolutionary Algorithms. It combines this with recent, previously unpublished research papers based on the material of the tutorials. The outcome is a book which is self-contained to a large degree, attractive both to graduate students and researchers from other fields who want to get acquainted with the theory of Evolutionary Computing, and to active researchers in the field who can use this book as a reference and a source of recent results.
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| Subject
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Artificial intelligence.
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Biology -- Data processing.
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Evolutionary programming (Computer science)
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| Added Entry
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Alex Rogers
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Bart Naudts
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Leila Kallel
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