Studies in Computational Intelligence

By: Ying-ping Chen (Editor)

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Hardcover | 26 September 2008

At a Glance

Hardcover
500 Pages

Dimensions(cm)
23.5 x 15.88 x 3.18

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In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based approaches have their limits; they can be easily "fooled" by cases of triviality or peculiarity of the class of problems that the algorithms are designed to handle. Furthermore, these approaches are usually blind to the interactions between the decision variables, thereby disrupting the partial solutions that are being built up along the way.

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You Can Find This Book In

Non-Fiction Mathematics Applied Mathematics Computing & I.T.Computer Science Artificial Intelligence Graphical & Digital Media Applications Computer-Aided Design CAD Engineering & Technology Technology in General Maths for Engineers

Models and Theories
Parallel Bivariate Marginal Distribution Algorithm with Probability Model Migration	p. 3
Linkages Detection in Histogram-Based Estimation of Distribution Algorithm	p. 25
Linkage in Island Models	p. 41
Real-Coded ECGA for Solving Decomposable Real-Valued Optimization Problems	p. 61
Linkage Learning Accuracy in the Bayesian Optimization Algorithm	p. 87
The Impact of Exact Probabilistic Learning Algorithms in EDAs Based on Bayesian Networks	p. 109
Linkage Learning in Estimation of Distribution Algorithms	p. 141
Operators and Frameworks
Parallel GEAs with Linkage Analysis over Grid	p. 159
Identification and Exploitation of Linkage by Means of Alternative Splicing	p. 189
A Clustering-Based Approach for Linkage Learning Applied to Multimodal Optimization	p. 225
Studying the Effects of Dual Coding on the Adaptation of Representation for Linkage in Evolutionary Algorithms	p. 249
Symbiotic Evolution to Avoid Linkage Problem	p. 285
EpiSwarm, a Swarm-Based System for Investigating Genetic Epistasis	p. 315
Real-Coded Extended Compact Genetic Algorithm Based on Mixtures of Models	p. 335
Applications
Genetic Algorithms for the Airport Gate Assignment: Linkage, Representation and Uniform Crossover	p. 361
A Decomposed Approach for the Minimum Interference Frequency Assignment	p. 389
Set Representation and Multi-parent Learning within an Evolutionary Algorithm for Optimal Design of Trusses	p. 419
A Network Design Problem by a GA with Linkage Identification and Recombination for Overlapping Building Blocks	p. 441
Knowledge-Based Evolutionary Linkage in MEMS Design Synthesis	p. 461
Index	p. 485
Author Index	p. 487
Table of Contents provided by Ingram. All Rights Reserved.

Studies in Computational Intelligence

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Hardcover

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