Luque Gabriel. Parallel Genetic Algorithms. Theory and Real World Applications

ISBN: 978-3-642-22083-8. Springer 2011.This book is the result of several years of research trying to better characterize
parallel genetic algorithms (pGAs) as a powerful tool for optimization, search,
and learning.
We here offer a presentation structured in three parts. The first one is tar-
geted to the algorithms themselves, discussing their components, the physical
parallelism, and best practices in using and evaluating them.
A second part deals with theoretical results relevant to the research with
pGAs. Here we stress several issues related to actual and common pGAs.
A final third part offers a very wide study of pGAs as problem solvers,
addressing domains such as natural language processing, circuits design,
scheduling, and genomics. With such a diverse analysis, we intend to show
the big success of these techniques in Science and Industry.