Handbook of Nature-Inspired Optimization Algorithms: The State of the Art

Name: Handbook of Nature-Inspired Optimization Algorithms: The State of the Art
Brand: Springer Nature
SKU: 9783031075117
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Springer Nature

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9783031075117

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New

Product Description

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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