Nature Inspired Optimizers

This book PDF is perfect for those who love Technology & Engineering genre, written by Seyedali Mirjalili and published by Springer which was released on 01 February 2019 with total hardcover pages 245. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Nature Inspired Optimizers books below.

Nature Inspired Optimizers

Author	: Seyedali Mirjalili
File Size	: 42,5 Mb
Publisher	: Springer
Language	: English
Release Date	: 01 February 2019
ISBN	: 9783030121273
Pages	: 245 pages

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Nature Inspired Optimizers by Seyedali Mirjalili Book PDF Summary

This book covers the conventional and most recent theories and applications in the area of evolutionary algorithms, swarm intelligence, and meta-heuristics. Each chapter offers a comprehensive description of a specific algorithm, from the mathematical model to its practical application. Different kind of optimization problems are solved in this book, including those related to path planning, image processing, hand gesture detection, among others. All in all, the book offers a tutorial on how to design, adapt, and evaluate evolutionary algorithms. Source codes for most of the proposed techniques have been included as supplementary materials on a dedicated webpage.

Nature Inspired Optimizers by Seyedali Mirjalili,Jin Song Dong,Andrew Lewis

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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 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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Introduction to Nature Inspired Optimization by George Lindfield,John Penny

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

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Advanced Optimization by Nature Inspired Algorithms by Omid Bozorg-Haddad

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

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Nature Inspired Optimization Algorithms for Fuzzy Controlled Servo Systems by Radu-Emil Precup,Radu-Codrut David

Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems suits the general need of a book that explains the major issues to fuzzy control in servo systems without any solid mathematical prerequisite. In addition, pertinent information on nature-inspired optimization algorithms is offered. The book is intended to rapidly make intelligible notions

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Nature Inspired Optimization Algorithms by Vasuki A

Nature-Inspired Optimization Algorithms, a comprehensive work on the most popular optimization algorithms based on nature, starts with an overview of optimization going from the classical to the latest swarm intelligence algorithm. Nature has a rich abundance of flora and fauna that inspired the development of optimization techniques, providing us with

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Nature Inspired Algorithms and Applied Optimization by Xin-She Yang

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring

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