Foundations of Genetic Algorithms 1991 (FOGA 1)

Foundations of Genetic Algorithms 1991 (FOGA 1)
Author :
Publisher : Elsevier
Total Pages : 348
Release :
ISBN-10 : 9780080506845
ISBN-13 : 0080506844
Rating : 4/5 (844 Downloads)

Book Synopsis Foundations of Genetic Algorithms 1991 (FOGA 1) by : Gregory J.E. Rawlins

Download or read book Foundations of Genetic Algorithms 1991 (FOGA 1) written by Gregory J.E. Rawlins and published by Elsevier. This book was released on 2014-06-28 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems. This book compiles research papers on selection and convergence, coding and representation, problem hardness, deception, classifier system design, variation and recombination, parallelization, and population divergence. Other topics include the non-uniform Walsh-schema transform; spurious correlations and premature convergence in genetic algorithms; and variable default hierarchy separation in a classifier system. The grammar-based genetic algorithm; conditions for implicit parallelism; and analysis of multi-point crossover are also elaborated. This text likewise covers the genetic algorithms for real parameter optimization and isomorphisms of genetic algorithms. This publication is a good reference for students and researchers interested in genetic algorithms.


Foundations of Genetic Algorithms 1991 (FOGA 1) Related Books

Foundations of Genetic Algorithms 1991 (FOGA 1)
Language: en
Pages: 348
Authors: Gregory J.E. Rawlins
Categories: Mathematics
Type: BOOK - Published: 2014-06-28 - Publisher: Elsevier

DOWNLOAD EBOOK

Foundations of Genetic Algorithms 1991 (FOGA 1) discusses the theoretical foundations of genetic algorithms (GA) and classifier systems. This book compiles rese
Foundations of Genetic Algorithms 1993 (FOGA 2)
Language: en
Pages: 343
Authors: FOGA
Categories: Mathematics
Type: BOOK - Published: 2014-06-28 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Foundations of Genetic Algorithms, Volume 2 provides insight of theoretical work in genetic algorithms. This book provides a general understanding of a canonica
Evolutionary Multi-Criterion Optimization
Language: en
Pages: 781
Authors: Hisao Ishibuchi
Categories: Computers
Type: BOOK - Published: 2021-03-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, Chi
Collectives and the Design of Complex Systems
Language: en
Pages: 329
Authors: Kagan Tumer
Categories: Mathematics
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Many complex systems found in nature can be viewed as function optimizers. In particular, they can be viewed as such optimizers of functions in extremely high d
Evolutionary Computation 1
Language: en
Pages: 378
Authors: Thomas Baeck
Categories: Computers
Type: BOOK - Published: 2018-10-03 - Publisher: CRC Press

DOWNLOAD EBOOK

The field of evolutionary computation is expanding dramatically, fueled by the vast investment that reflects the value of applying its techniques. Culling mater