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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Genetic Algorithms and Fuzzy Multiobjective Optimization (Hardcover, 2002 ed.)
Loot Price: R4,736
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Genetic Algorithms and Fuzzy Multiobjective Optimization (Hardcover, 2002 ed.)
Series: Operations Research/Computer Science Interfaces Series, 14
Expected to ship within 12 - 17 working days
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Since the introduction of genetic algorithms in the 1970s, an
enormous number of articles together with several significant
monographs and books have been published on this methodology. As a
result, genetic algorithms have made a major contribution to
optimization, adaptation, and learning in a wide variety of
unexpected fields. Over the years, many excellent books in genetic
algorithm optimization have been published; however, they focus
mainly on single-objective discrete or other hard optimization
problems under certainty. There appears to be no book that is
designed to present genetic algorithms for solving not only
single-objective but also fuzzy and multiobjective optimization
problems in a unified way. Genetic Algorithms And Fuzzy
Multiobjective Optimization introduces the latest advances in the
field of genetic algorithm optimization for 0-1 programming,
integer programming, nonconvex programming, and job-shop scheduling
problems under multiobjectiveness and fuzziness. In addition, the
book treats a wide range of actual real world applications. The
theoretical material and applications place special stress on
interactive decision-making aspects of fuzzy multiobjective
optimization for human-centered systems in most realistic
situations when dealing with fuzziness. The intended readers of
this book are senior undergraduate students, graduate students,
researchers, and practitioners in the fields of operations
research, computer science, industrial engineering, management
science, systems engineering, and other engineering disciplines
that deal with the subjects of multiobjective programming for
discrete or other hard optimization problems under fuzziness. Real
world research applications are used throughout the book to
illustrate the presentation. These applications are drawn from
complex problems. Examples include flexible scheduling in a machine
center, operation planning of district heating and cooling plants,
and coal purchase planning in an actual electric power plant.
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