Nature Inspired Metaheuristic Algorithms

Download Read Online Nature Inspired Metaheuristic Algorithms book
Author: Xin-She Yang
Publisher: Luniver Press
ISBN: 1905986289
Size: 62.51 MB
Format: PDF, ePub
View: 7663

Nature Inspired Metaheuristic Algorithms by Xin-She Yang


Original Title: Nature Inspired Metaheuristic Algorithms

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, harmony search, and firefly algorithms. We also briefly introduce the photosynthetic algorithm, the enzyme algorithm, and Tabu search. Worked examples with implementation have been used to show how each algorithm works. This book is thus an ideal textbook for an undergraduate and/or graduate course. As some of the algorithms such as the harmony search and firefly algorithms are at the forefront of current research, this book can also serve as a reference book for researchers.

Engineering Optimization

Download Read Online Engineering Optimization book
Author: Xin-She Yang
Publisher: John Wiley & Sons
ISBN: 9780470640418
Size: 11.74 MB
Format: PDF, ePub, Mobi
View: 721

Engineering Optimization by Xin-She Yang


Original Title: Engineering Optimization

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms. The author introduces all major metaheuristic algorithms and their applications in optimization through a presentation that is organized into three succinct parts: Foundations of Optimization and Algorithms provides a brief introduction to the underlying nature of optimization and the common approaches to optimization problems, random number generation, the Monte Carlo method, and the Markov chain Monte Carlo method Metaheuristic Algorithms presents common metaheuristic algorithms in detail, including genetic algorithms, simulated annealing, ant algorithms, bee algorithms, particle swarm optimization, firefly algorithms, and harmony search Applications outlines a wide range of applications that use metaheuristic algorithms to solve challenging optimization problems with detailed implementation while also introducing various modifications used for multi-objective optimization Throughout the book, the author presents worked-out examples and real-world applications that illustrate the modern relevance of the topic. A detailed appendix features important and popular algorithms using MATLAB® and Octave software packages, and a related FTP site houses MATLAB code and programs for easy implementation of the discussed techniques. In addition, references to the current literature enable readers to investigate individual algorithms and methods in greater detail. Engineering Optimization: An Introduction with Metaheuristic Applications is an excellent book for courses on optimization and computer simulation at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners working in the fields of mathematics, engineering, computer science, operations research, and management science who use metaheuristic algorithms to solve problems in their everyday work.

Introduction To Computational Mathematics

Download Read Online Introduction To Computational Mathematics book
Author: Xin-She Yang
Publisher: World Scientific Publishing Company
ISBN: 9814635804
Size: 12.95 MB
Format: PDF, Mobi
View: 4238

Introduction To Computational Mathematics by Xin-She Yang


Original Title: Introduction To Computational Mathematics

This unique book provides a comprehensive introduction to computational mathematics, which forms an essential part of contemporary numerical algorithms, scientific computing and optimization. It uses a theorem-free approach with just the right balance between mathematics and numerical algorithms. This edition covers all major topics in computational mathematics with a wide range of carefully selected numerical algorithms, ranging from the root-finding algorithm, numerical integration, numerical methods of partial differential equations, finite element methods, optimization algorithms, stochastic models, nonlinear curve-fitting to data modelling, bio-inspired algorithms and swarm intelligence. This book is especially suitable for both undergraduates and graduates in computational mathematics, numerical algorithms, scientific computing, mathematical programming, artificial intelligence and engineering optimization. Thus, it can be used as a textbook and/or reference book.

Nature Inspired Optimization Algorithms

Download Read Online Nature Inspired Optimization Algorithms book
Author: Xin-She Yang
Publisher:
ISBN: 9780128100608
Size: 70.77 MB
Format: PDF, ePub, Docs
View: 3679

Nature Inspired Optimization Algorithms by Xin-She Yang


Original Title: Nature Inspired Optimization Algorithms

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, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

An Introduction To Computational Engineering With Matlab

Download Read Online An Introduction To Computational Engineering With Matlab book
Author: Xin-She Yang
Publisher: Cambridge Int Science Publishing
ISBN: 1904602525
Size: 50.93 MB
Format: PDF, ePub, Docs
View: 3169

An Introduction To Computational Engineering With Matlab by Xin-She Yang


Original Title: An Introduction To Computational Engineering With Matlab

This book strives to provide a concise introduction to computational engineering by introducing a wide range of numerical methods commonly used, such as finite difference methods, finite volume methods, finite element methods, and virtual bee algorithms. (Computer Books)

Applied Engineering Mathematics

Download Read Online Applied Engineering Mathematics book
Author: Xin-She Yang
Publisher: Cambridge Int Science Publishing
ISBN: 1904602568
Size: 49.68 MB
Format: PDF
View: 1559

Applied Engineering Mathematics by Xin-She Yang


Original Title: Applied Engineering Mathematics

This book strives to provide a concise and yet comprehensive cover-age of all major mathematical methods in engineering. Topics in-clude advanced calculus, ordinary and partial differential equations, complex variables, vector and tensor analysis, calculus of variations, integral transforms, integral equations, numerical methods, and prob-ability and statistics. Application topics consist of linear elasticity, harmonic motions, chaos, and reaction-diffusion systems. . This book can serve as a textbook in engineering mathematics, mathematical modelling and scientific computing. This book is organised into 19 chapters. Chapters 1-14 introduce various mathematical methods, Chapters 15-18 concern the numeri-cal methods, and Chapter 19 introduces the probability and statistics.

Introduction To Mathematical Optimization

Download Read Online Introduction To Mathematical Optimization book
Author: Xin-She Yang
Publisher: Cambridge International Science Pub
ISBN: 9781904602828
Size: 50.27 MB
Format: PDF, Kindle
View: 3955

Introduction To Mathematical Optimization by Xin-She Yang


Original Title: Introduction To Mathematical Optimization

This book strives to provide a balanced coverage of efficient algorithms commonly used in solving mathematical optimization problems. It covers both the convectional algorithms and modern heuristic and metaheuristic methods. Topics include gradient-based algorithms such as Newton-Raphson method, steepest descent method, Hooke-Jeeves pattern search, Lagrange multipliers, linear programming, particle swarm optimization (PSO), simulated annealing (SA), and Tabu search. Multiobjective optimization including important concepts such as Pareto optimality and utility method is also described. Three Matlab and Octave programs so as to demonstrate how PSO and SA work are provided. An example of demonstrating how to modify these programs to solve multiobjective optimization problems using recursive method is discussed.

A First Course In Finite Element Analysis

Download Read Online A First Course In Finite Element Analysis book
Author: Xin-She Yang
Publisher: Luniver Press
ISBN: 1905986084
Size: 28.59 MB
Format: PDF, Docs
View: 7294

A First Course In Finite Element Analysis by Xin-She Yang


Original Title: A First Course In Finite Element Analysis

The book endeavors to strike a balance between mathematical and numerical coverage of a wide range of topics in fi nite element analysis. It strives to provide an introduction, especially for undergraduates and graduates, to fi nite element analysis and its applications. Topics include advanced calculus, differential equations, vector analysis, calculus of variations, fi nite difference methods, fi nite element methods and time-stepping schemes. The book also emphasizes the application of important numerical methods with dozens of worked examples. The applied topics include elasticity, heat transfer, and pattern formation. A few self-explanatory Matlab programs provide a good start for readers to try some of the methods and to apply the methods and techniques to their own modelling problems with some modifi cations. The book will perfectly serve as a textbook in fi nite element analysis, computational mathematics, mathematical modelling, and engineering computations.

Mathematics For Civil Engineers

Download Read Online Mathematics For Civil Engineers book
Author: Xin-She Yang
Publisher: Dunedin Academic Press
ISBN: 1780465777
Size: 32.89 MB
Format: PDF, ePub
View: 670

Mathematics For Civil Engineers by Xin-She Yang


Original Title: Mathematics For Civil Engineers

Mathematics for Civil Engineers provides a concise introduction to the fundamental concepts of mathematics that are closely related to civil engineering. By using an informal and theorem-free approach with more than 150 step-by-step examples, all the key mathematical concepts and techniques are introduced. Thus users of this textbook will gain the basic knowledge and understanding required for their work. Exercises are included In each chapter to give readers the opportunity to apply their new knowledge; the answers to these dozens of exercises are provided at the end of the book. Topics include functions, trigonometrical functions, equations, polynomials, vectors and matrices, eigenvalues and eigenvectors, tensors, differentiation, integration, advanced calculus such as double integrals and special integrals, complex numbers, differential equations, Fourier series and transforms, Laplace transforms, probability and statistics, curve-fitting and linear regression. Advanced topics include partial differential equations and integral equations, root-finding algorithms for nonlinear equations, numerical methods for solving differential equations, optimization and nonlinear optimization. Mathematics for Civil Engineers allows undergraduates and civil engineers to develop a necessary, essential, knowledge of engineering mathematics. Many of the worked examples are chosen to reflect situations and problems in civil engineering practise. Examples include moment of inertia, second moment of area, beam buckling, harmonic motion and forced harmonic motion, elasticity, transfer function, waves and heat transfer, maximization and minimization and many others. All these topics and examples will help readers to gain more insight and to build sufficient confidence in applying engineering mathematics for problem solving in real engineering situations. This book may also be useful for practitioners in other engineering disciplines to improve their basic mathematical skills.

Cuckoo Search And Firefly Algorithm

Download Read Online Cuckoo Search And Firefly Algorithm book
Author: Xin-She Yang
Publisher: Springer
ISBN: 3319021419
Size: 62.72 MB
Format: PDF, Kindle
View: 5807

Cuckoo Search And Firefly Algorithm by Xin-She Yang


Original Title: Cuckoo Search And Firefly Algorithm

Nature-inspired algorithms such as cuckoo search and firefly algorithm have become popular and widely used in recent years in many applications. These algorithms are flexible, efficient and easy to implement. New progress has been made in the last few years, and it is timely to summarize the latest developments of cuckoo search and firefly algorithm and their diverse applications. This book will review both theoretical studies and applications with detailed algorithm analysis, implementation and case studies so that readers can benefit most from this book. Application topics are contributed by many leading experts in the field. Topics include cuckoo search, firefly algorithm, algorithm analysis, feature selection, image processing, travelling salesman problem, neural network, GPU optimization, scheduling, queuing, multi-objective manufacturing optimization, semantic web service, shape optimization, and others. This book can serve as an ideal reference for both graduates and researchers in computer science, evolutionary computing, machine learning, computational intelligence, and optimization, as well as engineers in business intelligence, knowledge management and information technology.

Recent Books :