The origins of evolutionary computation can be traced back to the late 1950s where it remained, almost unknown, to the broader scientific community for three decades until the 1980s when it started to receive significant attention, as did the study of multi-agent systems (MAS). This focuses on systems in which many intelligent agents interact with each other. Today these systems are not simply a research topic but are also beginning to become an important subject of academic teaching and industrial and commercial application.

Coevolutionary Computation and Multiagent Systems introduces the author's recent work in these two new and important branches of artificial intelligence.

The book begins with a useful introduction to evolutionary computation and an interesting coevolutionary algorithm for classification. The evolutionary aspects of the algorithm are studied and its efficiency is assessed through computational experimentation. ...Each chapter of the book is largely self-contained and a useful conclusion and list of references conclude each chapter.

ZENTRALBLATT MATH, Vol. 1254, 2013.