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Introduction to Nature-Inspired Optimization

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Description:Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization.Applies concepts in nature and biology to develop new algorithms for nonlinear optimizationOffers working MATLAB(R) programs for the major algorithms described, applying them to a range of problemsProvides useful comparative studies of the algorithms, highlighting their strengths and weaknessesDiscusses the current state-of-the-field and indicates possible areas of future developmentWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Nature-Inspired Optimization. To get started finding Introduction to Nature-Inspired Optimization, you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 0128036664

Description: Introduction to Nature-Inspired Optimization brings together many of the innovative mathematical methods for non-linear optimization that have their origins in the way various species behave in order to optimize their chances of survival. The book describes each method, examines their strengths and weaknesses, and where appropriate, provides the MATLAB code to give practical insight into the detailed structure of these methods and how they work.Nature-inspired algorithms emulate processes that are found in the natural world, spurring interest for optimization. Lindfield/Penny provide concise coverage to all the major algorithms, including genetic algorithms, artificial bee colony algorithms, ant colony optimization and the cuckoo search algorithm, among others. This book provides a quick reference to practicing engineers, researchers and graduate students who work in the field of optimization.Applies concepts in nature and biology to develop new algorithms for nonlinear optimizationOffers working MATLAB(R) programs for the major algorithms described, applying them to a range of problemsProvides useful comparative studies of the algorithms, highlighting their strengths and weaknessesDiscusses the current state-of-the-field and indicates possible areas of future developmentWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Introduction to Nature-Inspired Optimization. To get started finding Introduction to Nature-Inspired Optimization, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Introduction to Nature-Inspired Optimization

Introduction to Nature-Inspired Optimization

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