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Metaheuristics: Outlines, MATLAB Codes and Examples

2019-03-29 Technology & Engineering
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Release : 2019-03-29
Genre : Technology & Engineering
Kind : eBook
Book Rating : 674/5 ( reviews)

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Book Synopsis Metaheuristics: Outlines, MATLAB Codes and Examples by : Ali Kaveh

Download or read book Metaheuristics: Outlines, MATLAB Codes and Examples written by Ali Kaveh. This book was released on 2019-03-29. Available in PDF, EPUB and Kindle. Book excerpt: The book presents eight well-known and often used algorithms besides nine newly developed algorithms by the first author and his students in a practical implementation framework. Matlab codes and some benchmark structural optimization problems are provided. The aim is to provide an efficient context for experienced researchers or readers not familiar with theory, applications and computational developments of the considered metaheuristics. The information will also be of interest to readers interested in application of metaheuristics for hard optimization, comparing conceptually different metaheuristics and designing new metaheuristics.

A Practical Approach to Metaheuristics using LabVIEW and MATLAB®

2020-06-08 Computers
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Release : 2020-06-08
Genre : Computers
Kind : eBook
Book Rating : 475/5 ( reviews)

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Book Synopsis A Practical Approach to Metaheuristics using LabVIEW and MATLAB® by : Pedro Ponce-Cruz

Download or read book A Practical Approach to Metaheuristics using LabVIEW and MATLAB® written by Pedro Ponce-Cruz. This book was released on 2020-06-08. Available in PDF, EPUB and Kindle. Book excerpt: Metaheuristic optimization has become a prime alternative for solving complex optimization problems in several areas. Hence, practitioners and researchers have been paying extensive attention to those metaheuristic algorithms that are mainly based on natural phenomena. However, when those algorithms are implemented, there are not enough books that deal with theoretical and experimental problems in a friendly manner so this book presents a novel structure that includes a complete description of the most important metaheuristic optimization algorithms as well as a new proposal of a new metaheuristic optimization named earthquake optimization. This book also has several practical exercises and a toolbox for MATLAB® and a toolkit for LabVIEW are integrated as complementary material for this book. These toolkits allow readers to move from a simulation environment to an experimentation one very fast. This book is suitable for researchers, students, and professionals in several areas, such as economics, architecture, computer science, electrical engineering, and control systems. The unique features of this book are as follows: Developed for researchers, undergraduate and graduate students, and practitioners A friendly description of the main metaheuristic optimization algorithms Theoretical and practical optimization examples A new earthquake optimization algorithm Updated state-of-the-art and research optimization projects The authors are multidisciplinary/interdisciplinary lecturers and researchers who have written a structure-friendly learning methodology to understand each metaheuristic optimization algorithm presented in this book.

Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization

2022-09-17 Technology & Engineering
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Release : 2022-09-17
Genre : Technology & Engineering
Kind : eBook
Book Rating : 29X/5 ( reviews)

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Book Synopsis Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization by : Ali Kaveh

Download or read book Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization written by Ali Kaveh. This book was released on 2022-09-17. Available in PDF, EPUB and Kindle. Book excerpt: The main purpose of the present book is to develop a general framework for population-based metaheuristics based on some basic concepts of set theory. The idea of the framework is to divide the population of individuals into subpopulations of identical sizes. Therefore, in each iteration of the search process, different subpopulations explore the search space independently but simultaneously. The framework aims to provide a suitable balance between exploration and exploitation during the search process. A few chapters containing algorithm-specific modifications of some state-of-the-art metaheuristics are also included to further enrich the book. The present book is addressed to those scientists, engineers, and students who wish to explore the potentials of newly developed metaheuristics. The proposed metaheuristics are not only applicable to structural optimization problems but can also be used for other engineering optimization applications. The book is likely to be of interest to a wide range of engineers and students who deal with engineering optimization problems.

Advances in Metaheuristic Algorithms for Optimal Design of Structures

2021-01-21 Technology & Engineering
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Release : 2021-01-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 924/5 ( reviews)

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Book Synopsis Advances in Metaheuristic Algorithms for Optimal Design of Structures by : Ali Kaveh

Download or read book Advances in Metaheuristic Algorithms for Optimal Design of Structures written by Ali Kaveh. This book was released on 2021-01-21. Available in PDF, EPUB and Kindle. Book excerpt: This book presents efficient metaheuristic algorithms for optimal design of structures. Many of these algorithms are developed by the author and his graduate students, consisting of Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Democratic Particle Swarm Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which are developed by other authors and have been successfully applied to various optimization problems. These consist of Partical Swarm Optimization, Big Band Big Crunch algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm and Chaos Embedded Metaheuristic Algorithm. Finally a multi-objective Optimization is presented to Solve large scale structural problems based on the Charged System Search algorithm, In the second edition seven new chapters are added consisting of Enhance colliding bodies optimization, Global sensitivity analysis, Tug of War Optimization, Water evaporation optimization, Vibrating System Optimization and Cyclical Parthenogenesis Optimization algorithm. In the third edition, five new chapters are included consisting of the recently developed algorithms. These are Shuffled Shepherd Optimization Algorithm, Set Theoretical Shuffled Shepherd Optimization Algorithm, Set Theoretical Teaching-Learning-Based Optimization Algorithm, Thermal Exchange Metaheuristic Optimization Algorithm, and Water Strider Optimization Algorithm and Its Enhancement. The concepts and algorithm presented in this book are not only applicable to optimization of skeletal structure, finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.

Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm

2023-03-01 Technology & Engineering
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Release : 2023-03-01
Genre : Technology & Engineering
Kind : eBook
Book Rating : 739/5 ( reviews)

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Book Synopsis Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm by : Ali Kaveh

Download or read book Structural Optimization Using Shuffled Shepherd Meta-Heuristic Algorithm written by Ali Kaveh. This book was released on 2023-03-01. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the so-called Shuffled Shepherd Optimization Algorithm (SSOA), a recently developed meta-heuristic algorithm by authors. There is always limitations on the resources to be used in the construction. Some of the resources used in the buildings are also detrimental to the environment. For example, the cement utilized in making concrete emits carbon dioxide, which contributes to the global warming. Hence, the engineers should employ resources efficiently and avoid the waste. In the traditional optimal design methods, the number of trials and errors used by the designer is limited, so there is no guarantee that the optimal design can be found for structures. Hence, the deigning method should be changed, and the computational algorithms should be employed in the optimum design problems. The gradient-based method and meta-heuristic algorithms are the two different types of methods used to find the optimal solution. The gradient-based methods require gradient information. Also, these can easily be trapped in the local optima in the nonlinear and complex problems. Therefore, to overcome these issues, meta-heuristic algorithms are developed. These algorithms are simple and can get out of the local optimum by easy means. However, a single meta-heuristic algorithm cannot find the optimum results in all types of optimization problems. Thus, civil engineers develop different meta-heuristic algorithms for their optimization problems. Different applications of the SSOA are provided. The simplified and enhanced versions of the SSOA are also developed and efficiently applied to various optimization problems in structures. Another special feature of this book consists of the use of graph theoretical force method as analysis tool, in place of traditional displacement approach. This has reduced the computational time to a great extent, especially for those structures having smaller DSI compared to the DKI. New framework is also developed for reliability-based design of frame structures. The algorithms are clearly stated such that they can simply be implemented and utilized in practice and research.

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