The vital concept of optimization has been largely neglected in thermal
sciences. Keeping this in mind, Essentials of Thermal System Design and
Optimization introduces the general principles involved in system design and
optimization as applicable to thermal systems, followed by the methods to
implement them. The book features several surprising examples and uses a
conversational style to, for the first time, introduce contemporary techniques
and concepts, such as genetic algorithms, simulated annealing, ANN, and Bayesian
Inference in the context of thermal system optimization. An independent chapter
is devoted to inverse problems in thermal systems. Examples and problems in
every chapter clarify presented concepts and methods, and supplemental
end-of-chapter problems