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Books > Computing & IT > Applications of computing > Artificial intelligence
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Foundations of Computational Intelligence Volume 3 - Global Optimization (Hardcover, 2009 ed.)
Loot Price: R4,662
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Foundations of Computational Intelligence Volume 3 - Global Optimization (Hardcover, 2009 ed.)
Series: Studies in Computational Intelligence, 203
Expected to ship within 10 - 15 working days
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Global optimization is a branch of applied mathematics and
numerical analysis that deals with the task of finding the
absolutely best set of admissible conditions to satisfy certain
criteria / objective function(s), formulated in mathematical terms.
Global optimization includes nonlinear, stochastic and
combinatorial programming, multiobjective programming, control,
games, geometry, approximation, algorithms for parallel
architectures and so on. Due to its wide usage and applications, it
has gained the attention of researchers and practitioners from a
plethora of scientific domains. Typical practical examples of
global optimization applications include: Traveling salesman
problem and electrical circuit design (minimize the path length);
safety engineering (building and mechanical structures);
mathematical problems (Kepler conjecture); Protein structure
prediction (minimize the energy function) etc. Global Optimization
algorithms may be categorized into several types: Deterministic
(example: branch and bound methods), Stochastic optimization
(example: simulated annealing). Heuristics and meta-heuristics
(example: evolutionary algorithms) etc. Recently there has been a
growing interest in combining global and local search strategies to
solve more complicated optimization problems. This edited volume
comprises 17 chapters, including several overview Chapters, which
provides an up-to-date and state-of-the art research covering the
theory and algorithms of global optimization. Besides research
articles and expository papers on theory and algorithms of global
optimization, papers on numerical experiments and on real world
applications were also encouraged. The book is divided into 2 main
parts.
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