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Books > Professional & Technical > Mechanical engineering & materials > Materials science > Engineering thermodynamics
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Thermal System Optimization - A Population-Based Metaheuristic Approach (Hardcover, 1st ed. 2019)
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Thermal System Optimization - A Population-Based Metaheuristic Approach (Hardcover, 1st ed. 2019)
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This book presents a wide-ranging review of the latest research and
development directions in thermal systems optimization using
population-based metaheuristic methods. It helps readers to
identify the best methods for their own systems, providing details
of mathematical models and algorithms suitable for implementation.
To reduce mathematical complexity, the authors focus on
optimization of individual components rather than taking on systems
as a whole. They employ numerous case studies: heat exchangers;
cooling towers; power generators; refrigeration systems; and
others. The importance of these subsystems to real-world situations
from internal combustion to air-conditioning is made clear. The
thermal systems under discussion are analysed using various
metaheuristic techniques, with comparative results for different
systems. The inclusion of detailed MATLAB (R) codes in the text
will assist readers-researchers, practitioners or students-to
assess these techniques for different real-world systems. Thermal
System Optimization is a useful tool for thermal design researchers
and engineers in academia and industry, wishing to perform thermal
system identification with properly optimized parameters. It will
be of interest for researchers, practitioners and graduate students
with backgrounds in mechanical, chemical and power engineering.
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