This book stands as a manual and ready reference for the range of professionals involved in industrial drying. It addresses problems connected with most industrial drying systems, too often designed by those with limited formal engineering training in an environment of minimal regulatory oversight. The author explains how many existing drying systems are dangerous and pose fire hazards, create unhealthy working conditions, are highly energy inefficient, and have very little to no primary modeling of key process variables. Equipping readers with the necessary competencies to contend with issues in conducting studies, developing new designs; manufacturing, installing, and servicing industrial drying systems, this volume is ideal for engineers, OEMS, contractors, service technicians, scientists; agriculture, food, wood products manufacturers; and insurance underwriters.
The first complete overview of evolutionary computing, the collective name for a range of problem-solving techniques based on principles of biological evolution, such as natural selection and genetic inheritance. The text is aimed directly at lecturers and graduate and undergraduate students. It is also meant for those who wish to apply evolutionary computing to a particular problem or within a given application area. The book contains quick-reference information on the current state-of-the-art in a wide range of related topics, so it is of interest not just to evolutionary computing specialists but to researchers working in other fields.
The overall structure of this new edition is three-tier: Part I presents the basics, Part II is concerned with methodological issues, and Part III discusses advanced topics. In the second edition the authors have reorganized the material to focus on problems, how to represent them, and then how to choose and design algorithms for different representations. They also added a chapter on problems, reflecting the overall book focus on problem-solvers, a chapter on parameter tuning, which they combined with the parameter control and "how-to" chapters into a methodological part, and finally a chapter on evolutionary robotics with an outlook on possible exciting developments in this field. The book is suitable for undergraduate and graduate courses in artificial intelligence and computational intelligence, and for self-study by practitioners and researchers engaged with all aspects of bioinspired design and optimization.
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