The last few years have seen important advances in the use of
genetic algorithms to address challenging optimization problems in
industrial engineering. Genetic Algorithms and Engineering Design
is the only book to cover the most recent technologies and their
application to manufacturing, presenting a comprehensive and fully
up-to-date treatment of genetic algorithms in industrial
engineering and operations research.
Beginning with a tutorial on genetic algorithm fundamentals and
their use in solving constrained and combinatorial optimization
problems, the book applies these techniques to problems in specific
areas--sequencing, scheduling and production plans, transportation
and vehicle routing, facility layout, location-allocation, and
more. Each topic features a clearly written problem description,
mathematical model, and summary of conventional heuristic
algorithms. All algorithms are explained in intuitive, rather than
highly-technical, language and are reinforced with illustrative
figures and numerical examples.
Written by two internationally acknowledged experts in the field,
Genetic Algorithms and Engineering Design features original
material on the foundation and application of genetic algorithms,
and also standardizes the terms and symbols used in other
sources--making this complex subject truly accessible to the
beginner as well as to the more advanced reader.
Ideal for both self-study and classroom use, this self-contained
reference provides indispensable state-of-the-art guidance to
professionals and students working in industrial engineering,
management science, operations research, computer science, and
artificial intelligence. The only comprehensive, state-of-the-art
treatment available on the use of genetic algorithms in industrial
engineering and operations research . . .
Written by internationally recognized experts in the field of
genetic algorithms and artificial intelligence, Genetic Algorithms
and Engineering Design provides total coverage of current
technologies and their application to manufacturing systems.
Incorporating original material on the foundation and application
of genetic algorithms, this unique resource also standardizes the
terms and symbols used in other sources--making this complex
subject truly accessible to students as well as experienced
professionals. Designed for clarity and ease of use, this
self-contained reference:
* Provides a comprehensive survey of selection strategies, penalty
techniques, and genetic operators used for constrained and
combinatorial optimization problems
* Shows how to use genetic algorithms to make production schedules,
solve facility/location problems, make transportation/vehicle
routing plans, enhance system reliability, and much more
* Contains detailed numerical examples, plus more than 160
auxiliary figures to make solution procedures transparent and
understandable
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