Advances in Metaheuristic Algorithms for Optimal Design of Structures

Advances in Metaheuristic Algorithms for Optimal Design of Structures
Author :
Publisher : Springer Science & Business
Total Pages : 433
Release :
ISBN-10 : 9783319055497
ISBN-13 : 3319055496
Rating : 4/5 (97 Downloads)

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

Download or read book Advances in Metaheuristic Algorithms for Optimal Design of Structures written by A. Kaveh and published by Springer Science & Business. This book was released on 2014-04-28 with total page 433 pages. 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 colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks.

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Advances in Metaheuristic Algorithms for Optimal Design of Structures
Author :
Publisher : Springer Nature
Total Pages : 890
Release :
ISBN-10 : 9783030593926
ISBN-13 : 3030593924
Rating : 4/5 (26 Downloads)

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 and published by Springer Nature. This book was released on 2021-01-21 with total page 890 pages. 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.

Meta-heuristic Algorithms for Optimal Design of Real-Size Structures

Meta-heuristic Algorithms for Optimal Design of Real-Size Structures
Author :
Publisher : Springer
Total Pages : 172
Release :
ISBN-10 : 9783319787800
ISBN-13 : 3319787802
Rating : 4/5 (00 Downloads)

Book Synopsis Meta-heuristic Algorithms for Optimal Design of Real-Size Structures by : Ali Kaveh

Download or read book Meta-heuristic Algorithms for Optimal Design of Real-Size Structures written by Ali Kaveh and published by Springer. This book was released on 2018-04-10 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contributions in this book discuss large-scale problems like the optimal design of domes, antennas, transmission line towers, barrel vaults and steel frames with different types of limitations such as strength, buckling, displacement and natural frequencies. The authors use a set of definite algorithms for the optimization of all types of structures. They also add a new enhanced version of VPS and information about configuration processes to all chapters. Domes are of special interest to engineers as they enclose a maximum amount of space with a minimum surface and have proven to be very economical in terms of consumption of constructional materials. Antennas and transmission line towers are the one of the most popular structure since these steel lattice towers are inexpensive, strong, light and wind resistant. Architects and engineers choose barrel vaults as viable and often highly suitable forms for covering not only low-cost industrial buildings, warehouses, large-span hangars, indoor sports stadiums, but also large cultural and leisure centers. Steel buildings are preferred in residential as well as commercial buildings due to their high strength and ductility particularly in regions which are prone to earthquakes.

Advances in Structural Engineering—Optimization

Advances in Structural Engineering—Optimization
Author :
Publisher : Springer Nature
Total Pages : 310
Release :
ISBN-10 : 9783030618483
ISBN-13 : 303061848X
Rating : 4/5 (83 Downloads)

Book Synopsis Advances in Structural Engineering—Optimization by : Sinan Melih Nigdeli

Download or read book Advances in Structural Engineering—Optimization written by Sinan Melih Nigdeli and published by Springer Nature. This book was released on 2020-12-04 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an up-to-date source for computation applications of optimization, prediction via artificial intelligence methods, and evaluation of metaheuristic algorithm with different structural applications. As the current interest of researcher, metaheuristic algorithms are a high interest topic area since advance and non-optimized problems via mathematical methods are challenged by the development of advance and modified algorithms. The artificial intelligence (AI) area is also important in predicting optimum results by skipping long iterative optimization processes. The machine learning used in generation of AI models also needs optimum results of metaheuristic-based approaches. This book is a great source to researcher, graduate students, and bachelor students who gain project about structural optimization. Differently from the academic use, the chapter that emphasizes different scopes and methods can take the interest and help engineer working in design and production of structural engineering projects.

Advances in Metaheuristic Algorithms for Optimal Design of Structures

Advances in Metaheuristic Algorithms for Optimal Design of Structures
Author :
Publisher : Springer
Total Pages : 637
Release :
ISBN-10 : 9783319461731
ISBN-13 : 3319461737
Rating : 4/5 (31 Downloads)

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

Download or read book Advances in Metaheuristic Algorithms for Optimal Design of Structures written by A. Kaveh and published by Springer. This book was released on 2016-11-09 with total page 637 pages. 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 colleagues, consisting of Democratic Particle Swarm Optimization, Charged System Search, Magnetic Charged System Search, Field of Forces Optimization, Dolphin Echolocation Optimization, Colliding Bodies Optimization, Ray Optimization. These are presented together with algorithms which were developed by other authors and have been successfully applied to various optimization problems. These consist of Particle Swarm Optimization, Big Bang-Big Crunch Algorithm, Cuckoo Search Optimization, Imperialist Competitive Algorithm, and Chaos Embedded Metaheuristic Algorithms. Finally a multi-objective optimization method is presented to solve large-scale structural problems based on the Charged System Search algorithm. The concepts and algorithms presented in this book are not only applicable to optimization of skeletal structures and finite element models, but can equally be utilized for optimal design of other systems such as hydraulic and electrical networks. In the second edition seven new chapters are added consisting of the new developments in the field of optimization. These chapters consist of the Enhanced Colliding Bodies Optimization, Global Sensitivity Analysis, Tug of War Optimization, Water Evaporation Optimization, Vibrating Particle System Optimization and Cyclical Parthenogenesis Optimization algorithms. A chapter is also devoted to optimal design of large scale structures.

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications
Author :
Publisher : Springer Nature
Total Pages : 382
Release :
ISBN-10 : 9783030454739
ISBN-13 : 3030454738
Rating : 4/5 (39 Downloads)

Book Synopsis Metaheuristic Optimization Algorithms in Civil Engineering: New Applications by : Ali Kaveh

Download or read book Metaheuristic Optimization Algorithms in Civil Engineering: New Applications written by Ali Kaveh and published by Springer Nature. This book was released on 2020-04-14 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the application of metaheuristic algorithms in a number of important optimization problems in civil engineering. Advances in civil engineering technologies require greater accuracy, efficiency and speed in terms of the analysis and design of the corresponding systems. As such, it is not surprising that novel methods have been developed for the optimal design of real-world systems and models with complex configurations and large numbers of elements. This book is intended for scientists, engineers and students wishing to explore the potential of newly developed metaheuristics in practical problems. It presents concepts that are not only applicable to civil engineering problems, but can also used for optimizing problems related to mechanical, electrical, and industrial engineering. It is an essential resource for civil, mechanical and electrical engineers who use optimization methods for design, as well as for students and researchers interested in structural optimization.

Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization

Advanced Metaheuristic Algorithms and Their Applications in Structural Optimization
Author :
Publisher : Springer Nature
Total Pages : 369
Release :
ISBN-10 : 9783031134296
ISBN-13 : 303113429X
Rating : 4/5 (96 Downloads)

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 and published by Springer Nature. This book was released on 2022-09-17 with total page 369 pages. 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.