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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Efficient and Accurate Parallel Genetic Algorithms (Hardcover, 2001 ed.)
Loot Price: R2,785
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Efficient and Accurate Parallel Genetic Algorithms (Hardcover, 2001 ed.)
Series: Genetic Algorithms and Evolutionary Computation, 1
Expected to ship within 10 - 15 working days
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As genetic algorithms (GAs) become increasingly popular, they are
applied to difficult problems that may require considerable
computations. In such cases, parallel implementations of GAs become
necessary to reach high-quality solutions in reasonable times. But,
even though their mechanics are simple, parallel GAs are complex
non-linear algorithms that are controlled by many parameters, which
are not well understood. Efficient and Accurate Parallel Genetic
Algorithms is about the design of parallel GAs. It presents
theoretical developments that improve our understanding of the
effect of the algorithm's parameters on its search for quality and
efficiency. These developments are used to formulate guidelines on
how to choose the parameter values that minimize the execution time
while consistently reaching solutions of high quality. Efficient
and Accurate Parallel Genetic Algorithms can be read in several
ways, depending on the readers' interests and their previous
knowledge about these algorithms. Newcomers to the field will find
the background material in each chapter useful to become acquainted
with previous work, and to understand the problems that must be
faced to design efficient and reliable algorithms. Potential users
of parallel GAs that may have doubts about their practicality or
reliability may be more confident after reading this book and
understanding the algorithms better. Those who are ready to try a
parallel GA on their applications may choose to skim through the
background material, and use the results directly without following
the derivations in detail. These readers will find that using the
results can help them to choose the type of parallel GA that best
suits their needs, without having to invest the time to implement
and test various options. Once that is settled, even the most
experienced users dread the long and frustrating experience of
configuring their algorithms by trial and error. The guidelines
contained herein will shorten dramatically the time spent tweaking
the algorithm, although some experimentation may still be needed
for fine-tuning. Efficient and Accurate Parallel Genetic Algorithms
is suitable as a secondary text for a graduate level course, and as
a reference for researchers and practitioners in industry.
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