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Books > Business & Economics > Business & management > Management & management techniques > Operational research
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Decision Science in Action - Theory and Applications of Modern Decision Analytic Optimisation (Paperback, Softcover reprint of the original 1st ed. 2019)
Loot Price: R2,653
Discovery Miles 26 530
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Decision Science in Action - Theory and Applications of Modern Decision Analytic Optimisation (Paperback, Softcover reprint of the original 1st ed. 2019)
Series: Asset Analytics
Expected to ship within 18 - 22 working days
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This book provides essential insights into a range of newly
developed numerical optimization techniques with a view to solving
real-world problems. Many of these problems can be modeled as
nonlinear optimization problems, but due to their complex nature,
it is not always possible to solve them using conventional
optimization theory. Accordingly, the book discusses the design and
applications of non-conventional numerical optimization techniques,
including the design of benchmark functions and the implementation
of these techniques to solve real-world optimization problems. The
book's twenty chapters examine various interesting research topics
in this area, including: Pi fraction-based optimization of the
Pantoja-Bretones-Martin (PBM) antenna benchmarks; benchmark
function generators for single-objective robust optimization
algorithms; convergence of gravitational search algorithms on
linear and quadratic functions; and an algorithm for the
multi-variant evolutionary synthesis of nonlinear models with
real-valued chromosomes. Delivering on its promise to explore
real-world scenarios, the book also addresses the seismic analysis
of a multi-story building with optimized damper properties; the
application of constrained spider monkey optimization to solve
portfolio optimization problems; the effect of upper body motion on
a bipedal robot's stability; an ant colony algorithm for routing
alternate-fuel vehicles in multi-depot vehicle routing problems;
enhanced fractal dimension-based feature extraction for thermal
face recognition; and an artificial bee colony-based
hyper-heuristic for the single machine order acceptance and
scheduling problem. The book will benefit not only researchers, but
also organizations active in such varied fields as Aerospace,
Automotive, Biotechnology, Consumer Packaged Goods, Electronics,
Finance, Business & Banking, Oil, Gas & Geosciences, and
Pharma, to name a few.
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