From the reviews: "The focus of this very interesting book is on evolutionary heuristic algorithms and in particular those evolutionary algorithms that are 'spatially structured' which exhibit slightly different properties than standard evolutionary algorithms. The book starts with a very useful introduction on graphs and cellular models, where most of the terminology is laid out. ... The book concludes with a detailed list of references and an index." (Efstratios Rappos, Zentralblatt MATH, Vol. 1089 (15), 2006) "The strong points of the book is that it provides many variations in the structure of any EA, thus offering numerous options to consider when implementing an EA. This is very useful for anyone using EAs in practice. The book also contains a wealth of empirical data comparing the performance of these many variations ... . The book is quite comprehensive and contains a wealth of very valuable information for any EA practitioner. The references are also very nice and varied." (Franklin A. Mendivil, Mathematical Reviews, Issue 2007 k)
Evolutionary algorithms (EAs) is now a mature problem-solving family of heuristics that has found its way into many important real-life problems and into leading-edge scientific research.