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Linkage in Evolutionary Computation

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Cover of 'Linkage in Evolutionary Computation'

Table of Contents

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    Book Overview
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    Chapter 1 Parallel Bivariate Marginal Distribution Algorithm with Probability Model Migration
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    Chapter 2 Linkages Detection in Histogram-Based Estimation of Distribution Algorithm
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    Chapter 3 Linkage in Island Models
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    Chapter 4 Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems
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    Chapter 5 Linkage Learning Accuracy in the Bayesian Optimization Algorithm
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    Chapter 6 The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks
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    Chapter 7 Linkage Learning in Estimation of Distribution Algorithms
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    Chapter 8 Parallel GEAs with Linkage Analysis over Grid
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    Chapter 9 Identification and Exploitation of Linkage by Means of Alternative Splicing
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    Chapter 10 A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization
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    Chapter 11 Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms
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    Chapter 12 Symbiotic Evolution to Avoid Linkage Problem
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    Chapter 13 EpiSwarm, a Swarm-Based System for Investigating Genetic Epistasis
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    Chapter 14 Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models
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    Chapter 15 Genetic Algorithms for the Airport Gate Assignment: Linkage, Representation and Uniform Crossover
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    Chapter 16 A Decomposed Approach for the Minimum Interference Frequency Assignment
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    Chapter 17 Set Representation and Multi-parent Learning within an Evolutionary Algorithm for Optimal Design of Trusses
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    Chapter 18 A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks
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    Chapter 19 Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis
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Citations

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9 Mendeley
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Title
Linkage in Evolutionary Computation
Published by
Springer Berlin Heidelberg, January 2008
DOI 10.1007/978-3-540-85068-7
ISBNs
978-3-54-085067-0, 978-3-54-085068-7
Editors

Ying-ping Chen, Meng-Hiot Lim

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 11%
Brazil 1 11%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Bachelor 2 22%
Professor 1 11%
Student > Master 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 3 33%
Mathematics 2 22%
Agricultural and Biological Sciences 1 11%
Engineering 1 11%
Unknown 2 22%

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