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Books > Computing & IT > Applications of computing > Artificial intelligence
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Evolutionary Algorithms and Agricultural Systems (Paperback, Softcover reprint of the original 1st ed. 2002)
Loot Price: R5,526
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Evolutionary Algorithms and Agricultural Systems (Paperback, Softcover reprint of the original 1st ed. 2002)
Series: The Springer International Series in Engineering and Computer Science, 647
Expected to ship within 10 - 15 working days
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Evolutionary Algorithms and Agricultural Systems deals with the
practical application of evolutionary algorithms to the study and
management of agricultural systems. The rationale of systems
research methodology is introduced, and examples listed of
real-world applications. It is the integration of these
agricultural systems models with optimization techniques, primarily
genetic algorithms, which forms the focus of this book. The
advantages are outlined, with examples of agricultural models
ranging from national and industry-wide studies down to the
within-farm scale. The potential problems of this approach are also
discussed, along with practical methods of resolving these
problems. Agricultural applications using alternate optimization
techniques (gradient and direct-search methods, simulated annealing
and quenching, and the tabu search strategy) are also listed and
discussed. The particular problems and methodologies of these
algorithms, including advantageous features that may benefit a
hybrid approach or be usefully incorporated into evolutionary
algorithms, are outlined. From consideration of this and the
published examples, it is concluded that evolutionary algorithms
are the superior method for the practical optimization of models of
agricultural and natural systems. General recommendations on robust
options and parameter settings for evolutionary algorithms are
given for use in future studies. Evolutionary Algorithms and
Agricultural Systems will prove useful to practitioners and
researchers applying these methods to the optimization of
agricultural or natural systems, and would also be suited as a text
for systems management, applied modeling, or operations research.
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