Advanced Optimization by Nature Inspired Algorithms

This book PDF is perfect for those who love Technology & Engineering genre, written by Omid Bozorg-Haddad and published by Springer which was released on 30 June 2017 with total hardcover pages 159. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Advanced Optimization by Nature Inspired Algorithms books below.

Advanced Optimization by Nature Inspired Algorithms

Author	: Omid Bozorg-Haddad
File Size	: 43,8 Mb
Publisher	: Springer
Language	: English
Release Date	: 30 June 2017
ISBN	: 9789811052217
Pages	: 159 pages

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Advanced Optimization by Nature Inspired Algorithms by Omid Bozorg-Haddad Book PDF Summary

This book, compiles, presents, and explains the most important meta-heuristic and evolutionary optimization algorithms whose successful performance has been proven in different fields of engineering, and it includes application of these algorithms to important engineering optimization problems. In addition, this book guides readers to studies that have implemented these algorithms by providing a literature review on developments and applications of each algorithm. This book is intended for students, but can be used by researchers and professionals in the area of engineering optimization.

Advanced Optimization by Nature Inspired Algorithms by Omid Bozorg-Haddad

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Nature Inspired Methods for Metaheuristics Optimization by Fouad Bennis,Rajib Kumar Bhattacharjya

This book gathers together a set of chapters covering recent development in optimization methods that are inspired by nature. The first group of chapters describes in detail different meta-heuristic algorithms, and shows their applicability using some test or real-world problems. The second part of the book is especially focused on

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Nature Inspired Metaheuristic Algorithms for Engineering Optimization Applications by Serdar Carbas,Abdurrahim Toktas,Deniz Ustun

This book engages in an ongoing topic, such as the implementation of nature-inspired metaheuristic algorithms, with a main concentration on optimization problems in different fields of engineering optimization applications. The chapters of the book provide concise overviews of various nature-inspired metaheuristic algorithms, defining their profits in obtaining the optimal solutions

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Nature Inspired Algorithms for Optimisation by Raymond Chiong

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured by their ability to find

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Nature Inspired Optimization Algorithms by Xin-She Yang

Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with well-chosen case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing,

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Nature inspired Metaheuristic Algorithms by Xin-She Yang

Modern metaheuristic algorithms such as bee algorithms and harmony search start to demonstrate their power in dealing with tough optimization problems and even NP-hard problems. This book reviews and introduces the state-of-the-art nature-inspired metaheuristic algorithms in optimization, including genetic algorithms, bee algorithms, particle swarm optimization, simulated annealing, ant colony optimization,

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Nature Inspired Optimization in Advanced Manufacturing Processes and Systems by Ganesh M. Kakandikar,Dinesh G. Thakur

The manufacturing system is going through substantial changes and developments in light of Industry 4.0. Newer manufacturing technologies are being developed and applied. There is a need to optimize these techniques when applied in different circumstances with respect to materials, tools, product configurations, and process parameters. This book covers computational intelligence

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Advances in Nature Inspired Computing and Applications by Shishir Kumar Shandilya,Smita Shandilya,Atulya K. Nagar

This book contains research contributions from leading global scholars in nature-inspired computing. It includes comprehensive coverage of each respective topic, while also highlighting recent and future trends. The contributions provides readers with a snapshot of the state of the art in the field of nature-inspired computing and its application. This

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