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Books > Computing & IT > Applications of computing > Artificial intelligence
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems (Hardcover, 1st ed. 2022)
Loot Price: R4,604
Discovery Miles 46 040
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Handbook of Nature-Inspired Optimization Algorithms: The State of the Art - Volume I: Solving Single Objective Bound-Constrained Real-Parameter Numerical Optimization Problems (Hardcover, 1st ed. 2022)
Series: Studies in Systems, Decision and Control, 212
Expected to ship within 10 - 15 working days
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The introduction of nature-inspired optimization algorithms
(NIOAs), over the past three decades, helped solve nonlinear,
high-dimensional, and complex computational optimization problems.
NIOAs have been originally developed to overcome the challenges of
global optimization problems such as nonlinearity, non-convexity,
non-continuity, non-differentiability, and/or multimodality which
traditional numerical optimization techniques had difficulties
solving. The main objective for this book is to make available a
self-contained collection of modern research addressing the general
bound-constrained optimization problems in many real-world
applications using nature-inspired optimization algorithms. This
book is suitable for a graduate class on optimization, but will
also be useful for interested senior students working on their
research projects.
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