Control of Smart Structural Systems Using Multi-objective Optimization Techniques
Author : Sridhar Sana
Publisher :
Page : 176 pages
File Size : 46,48 MB
Release : 2001
Category :
ISBN :
Evolutionary Multi-Objective System Design
Author : Nadia Nedjah
Publisher : CRC Press
Page : 251 pages
File Size : 47,73 MB
Release : 2020-07-15
Category : Computers
ISBN : 1315349590
Book Description
Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems. Generally, multi-objective engineering problems do not have a straightforward optimal design. These kinds of problems usually inspire several solutions of equal efficiency, which achieve different trade-offs. Decision makers’ preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimization takes place. They may also be introduced interactively at different levels of the optimization process. Multi-objective optimization methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods provide a whole set of so-called Pareto-optimal solutions. Evolutionary Multi-Objective System Design: Theory and Applications provides a representation of the state-of-the-art in evolutionary multi-objective optimization research area and related new trends. It reports many innovative designs yielded by the application of such optimization methods. It also presents the application of multi-objective optimization to the following problems: Embrittlement of stainless steel coated electrodes Learning fuzzy rules from imbalanced datasets Combining multi-objective evolutionary algorithms with collective intelligence Fuzzy gain scheduling control Smart placement of roadside units in vehicular networks Combining multi-objective evolutionary algorithms with quasi-simplex local search Design of robust substitution boxes Protein structure prediction problem Core assignment for efficient network-on-chip-based system design
Structural Control Architecture Optimization for 3-D Systems Using Advanced Multi-objective Genetic Algorithms
Author : Young Jin Cha
Publisher :
Page : pages
File Size : 18,10 MB
Release : 2010
Category :
ISBN :
Book Description
The architectures of the control devices in active control algorithm are an important fact in civil structural buildings. Traditional research has limitations in finding the optimal architecture of control devices such as using predefined numbers or locations of sensors and dampers within the 2-and 3-dimensional (3-D) model of the structure. Previous research using single-objective optimization only provides limited data for defining the architecture of sensors and control devices. The Linear Quadratic Gaussian (LQG) control algorithm is used as the active control strategy. The American Society of Civil Engineers (ASCE) control benchmark building definition is used to develop the building system model. The proposed gene manipulation genetic algorithm (GMGA) determines the near-optimal Pareto fronts which consist of varying numbers and locations of sensors and control devices for controlling the ASCE benchmark building by considering multi-objectives such as interstory drift and minimizing the number of the control devices. The proposed GMGA reduced the central processing unit (CPU) run time and produced more optimal Pareto fronts for the 2-D and 3-D 20-story building models. Using the GMGA provided several benefits: (1) the possibility to apply any presuggested multi-objective optimization mechanism; (2) the availability to perform a objective optimization problem; (3) the adoptability of the diverse encoding provided by the GA; (4) the possibility of including the engineering judgment in generating the next generation population by using a gene creation mechanisms; and (5) the flexibility of the gene creation mechanism in applying and changing the mechanism dependent on optimization problem. The near-optimal Pareto fronts obtained offer the structural engineer a diverse choice in designing control system and installing the control devices. The locations and numbers of the dampers and sensors in each story are highly dependent on the sensor locations. By providing near-Pareto fronts of possible solutions to the engineer that also consider diverse earthquakes, the engineer can get normalized patterns of architectures of control devices and sensors about random earthquakes.
Optimization Of Structural And Mechanical Systems
Author : Jasbir S Arora
Publisher : World Scientific
Page : 610 pages
File Size : 21,51 MB
Release : 2007-09-05
Category : Technology & Engineering
ISBN : 9814477222
Book Description
Computational optimization methods have matured over the last few years due to extensive research by applied mathematicians and engineers. These methods have been applied to many practical applications. Several general-purpose optimization programs and programs for specific engineering applications have become available to solve particular optimization problems.Written by leading researchers in the field of optimization, this highly readable book covers state-of-the-art computational algorithms as well as applications of optimization to structural and mechanical systems. Formulations of the problems and numerical solutions are presented, and topics requiring further research are also suggested.
Multi-Objective Optimization using Artificial Intelligence Techniques
Author : Seyedali Mirjalili
Publisher : Springer
Page : 58 pages
File Size : 31,1 MB
Release : 2019-07-24
Category : Technology & Engineering
ISBN : 3030248356
Book Description
This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.
Multi-Objective Optimization Problems
Author : Fran Sérgio Lobato
Publisher : Springer
Page : 170 pages
File Size : 20,13 MB
Release : 2017-07-03
Category : Mathematics
ISBN : 3319585657
Book Description
This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system design using a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm. This strategy is proposed in order to reduce the number of evaluations of the objective function through dynamic update of canonical Differential Evolution parameters (population size, crossover probability and perturbation rate). The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.
Design Optimization of Active and Passive Structural Control Systems
Author : Lagaros, Nikos D.
Publisher : IGI Global
Page : 414 pages
File Size : 19,52 MB
Release : 2012-08-31
Category : Technology & Engineering
ISBN : 1466620307
Book Description
A typical engineering task during the development of any system is, among others, to improve its performance in terms of cost and response. Improvements can be achieved either by simply using design rules based on the experience or in an automated way by using optimization methods that lead to optimum designs. Design Optimization of Active and Passive Structural Control Systems includes Earthquake Engineering and Tuned Mass Damper research topics into a volume taking advantage of the connecting link between them, which is optimization. This is a publication addressing the design optimization of active and passive control systems. This title is perfect for engineers, professionals, professors, and students alike, providing cutting edge research and applications.
International Weather for Energy Calculations (Iwec)
Author : American Society of Heating, Refrigerati
Publisher :
Page : 607 pages
File Size : 45,79 MB
Release : 2001-01-01
Category : Technology & Engineering
ISBN : 9781931862172
Book Description
Contains "typical" weather data in ASCII format, suitable for use with building energy simulation programs, for 227 locations outside the USA and Canada. The files are derived from up to 18 years of DATSAV3 hourly weather data originally archived at the National Climatic Data Center. The weather data are supplemented by solar radiation estimated on an hourly basis from earth-sun geometry and hourly weather elements, particularly cloud amount information. This CD is the result of ASHRAE Research Project 1015.The CD contains the user's manual and complete research report in PDF, the weather data in printable ASCII format and a version of Adobe Acrobat Reader. To run Acrobat Reader, a 486 or Pentium-based computer and either Microsoft Windows 95 or Windows NT 3.5 or later is required. Will also run on a Macintosh. For Windows 95 and NT, 8MB or RAM (16MB recommended) and 10MB of free hard-disk space are required.
Proceedings of 6th International Conference on Civil Engineering and Architecture, Vol. 1
Author : Thomas Kang
Publisher : Springer Nature
Page : 451 pages
File Size : 43,16 MB
Release :
Category :
ISBN : 9819753112
Book Description
Proceedings of the International Conference on Advanced Mechanical Engineering, Automation, and Sustainable Development 2021 (AMAS2021)
Author : Banh Tien Long
Publisher : Springer Nature
Page : 982 pages
File Size : 45,12 MB
Release : 2022-05-03
Category : Technology & Engineering
ISBN : 3030996662
Book Description
This book presents selected, peer-reviewed proceedings of the International Conference on Advanced Mechanical Engineering, Automation and Sustainable Development 2021 (AMAS2021), held in the city of Ha Long, Vietnam, from November 4 to 7, 2021. AMAS2021 is a special meeting of the International Conference on Material, Machines and Methods for Sustainable Development (MMMS), with a strong focus on automation and fostering an overall approach to assist policy makers, industries, and researchers at various levels to position local technological development toward sustainable development. The contributions published in this book stem from a wide spectrum of research, ranging from micro- and nanomaterial design and processing, to special applications in mechanical technology, environmental protection, green development, and climate change mitigation. A large group of contributions selected for these proceedings also focus on modeling and manufacturing of ecomaterials.
