Real World Multi Objective System Engineering
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| Author | : Nadia Nedjah |
| Publisher | : Nova Publishers |
| Total Pages | : 222 |
| Release | : 2005 |
| Genre | : Education |
| ISBN | : 9781594543906 |
Real-world engineering problems often require concurrent optimisation of several design objectives, which are conflicting in most of the cases. Such an optimisation is generally called multi-objective or multi-criterion optimisation. The area of research that applies evolutionary methodologies to multi-objective optimisation is of special and growing interest. It brings a solution to many yet-opened real-world problems and questions. Generally, multi-objective engineering problems have no single optimal design, but several solutions of equal efficiency allowing different trade-offs. The decision maker's preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimisation takes place. They may also be introduced interactively at different levels of the optimisation process. Multi-objective optimisation methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods target a whole set of so-called Pareto-optimal solutions. of the evolutionary multi-objective optimisation research area and related new trends. Furthermore, it reports many innovative designs yielded by the application of such optimisation methods. The contents of the book are divided into two main parts: evolutionary multi-objective optimisation and evolutionary multi-objective designs.
| Author | : Gade Pandu Rangaiah |
| Publisher | : World Scientific |
| Total Pages | : 454 |
| Release | : 2009 |
| Genre | : Technology & Engineering |
| ISBN | : 9812836527 |
Optimization has been playing a key role in the design, planning and operation of chemical and related processes for nearly half a century. Although process optimization for multiple objectives was studied by several researchers back in the 1970s and 1980s, it has attracted active research in the last 10 years, spurred by the new and effective techniques for multi-objective optimization. In order to capture this renewed interest, this monograph presents the recent and ongoing research in multi-optimization techniques and their applications in chemical engineering. Following a brief introduction and general review on the development of multi-objective optimization applications in chemical engineering since 2000, the book gives a description of selected multi-objective techniques and then goes on to discuss chemical engineering applications. These applications are from diverse areas within chemical engineering, and are presented in detail. All chapters will be of interest to researchers in multi-objective optimization and/or chemical engineering; they can be read individually and used in one''s learning and research. Several exercises are included at the end of many chapters, for use by both practicing engineers and students.
| Author | : Nadia Nedjah |
| Publisher | : CRC Press |
| Total Pages | : 251 |
| Release | : 2020-07-15 |
| Genre | : Computers |
| ISBN | : 1315349590 |
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
| Author | : Carlos Coello Coello |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 810 |
| Release | : 2007-09-18 |
| Genre | : Computers |
| ISBN | : 0387332545 |
This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.
| Author | : Thu Bui, Lam |
| Publisher | : IGI Global |
| Total Pages | : 496 |
| Release | : 2008-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1599045001 |
Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO real-world applications. Multi-Objective Optimization in Computational Intelligence: Theory and Practice explores the theoretical, as well as empirical, performance of MOs on a wide range of optimization issues including combinatorial, real-valued, dynamic, and noisy problems. This book provides scholars, academics, and practitioners with a fundamental, comprehensive collection of research on multi-objective optimization techniques, applications, and practices.
| Author | : Fran Sérgio Lobato |
| Publisher | : Springer |
| Total Pages | : 170 |
| Release | : 2017-07-03 |
| Genre | : Mathematics |
| ISBN | : 3319585657 |
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.
| Author | : Jürgen Branke |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 481 |
| Release | : 2008-10-15 |
| Genre | : Computers |
| ISBN | : 3540889078 |
Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.
| Author | : Chi-Keong Goh |
| Publisher | : Springer |
| Total Pages | : 399 |
| Release | : 2008-12-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3540880518 |
The application of sophisticated evolutionary computing approaches for solving complex problems with multiple conflicting objectives in science and engineering have increased steadily in the recent years. Within this growing trend, Memetic algorithms are, perhaps, one of the most successful stories, having demonstrated better efficacy in dealing with multi-objective problems as compared to its conventional counterparts. Nonetheless, researchers are only beginning to realize the vast potential of multi-objective Memetic algorithm and there remain many open topics in its design. This book presents a very first comprehensive collection of works, written by leading researchers in the field, and reflects the current state-of-the-art in the theory and practice of multi-objective Memetic algorithms. "Multi-Objective Memetic algorithms" is organized for a wide readership and will be a valuable reference for engineers, researchers, senior undergraduates and graduate students who are interested in the areas of Memetic algorithms and multi-objective optimization.
| Author | : Leszek Borzemski |
| Publisher | : Springer |
| Total Pages | : 896 |
| Release | : 2008-06-17 |
| Genre | : Computers |
| ISBN | : 3540690522 |
The 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA-AIE 2008) held in Wroclaw, Poland was an international scientific forum for researchers in the field of applied artificial intelligence. The presentations of the invited speakers and the authors focused on developing and employing methods and systems to solve real-life problems in all applied intelligence areas. The IEA-AIE conference series, chaired by Moonis Ali, has a very long tradition, and it is the first time it was hosted in Poland. We received 302 papers from 52 countries. Each paper was sent to at least three Program Committee members for review. Although the general quality of the submissions was very high, only 90 best papers were selected for oral presentation and publication in the LNAI proceedings. The papers in the proceedings cover the following topics: computer vision, fuzzy system applications, robot, manufacturing, data mining and knowledge discovery, neural network, machine learning, natural language processing, Internet application, e-learning, heuristic search, application systems, agent-based system, evolutionary and genetic algorithms, knowledge management, and other applications. These papers highlight new trends and frontiers of applied artificial intelligence and show how new research could lead to new and innovative applications. We hope you will find these works useful and inspiring for your own research. We would like to express our sincere thanks to the Program Committee members and all the reviewers for their hard work, which helped us to select the highest quality papers for the conference.
| Author | : David Howarth |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 257 |
| Release | : 2013-01-01 |
| Genre | : Law |
| ISBN | : 0857933787 |
'David Howarth's Law as Engineering is a profound contribution to the law. Evoking the level of originality associated with pioneering contributions to law and economics half a century ago, Howarth's book aligns law, not on economics, but on engineering styles of thought and problem solving. His analysis sheds deep light on a 21st century world where the work of transactional and legislative lawyers, who design and build social structures and devices much as engineers do physical ones, is becoming ever more important and complex, with far-reaching implications for both legal ethics and legal education.' – Scott Boorman, Yale university, US 'This is a brilliant, highly original analysis of what lawyers actually do and what they ought to do in order to protect their clients and the public. It will rescue lawyers from the kinds of behaviour that contributed to the financial crash. It also points legal education and research in important new directions.' – Sir Bob Hepple, Professor, QC FBA 'This book brings an important new perspective to a consideration of what lawyers do, and of what they are for. The implications explored in the book are an immensely valuable contribution to thinking on the future development of legal education and training. It should be read by everyone responsible for recruiting or training others for the law, whether in the public or the private sector.' – Sir Stephen Laws KCB, QC(Hon), LLD(Hon), First Parliamentary Counsel Law as Engineering proposes a radically new way of thinking about law, as a profession and discipline concerned with design rather than with litigation, and having much in common with engineering in the way it produces devices useful for its clients. It uses that comparison to propose ways of improving legal design, to advocate a transformation of legal ethics so that the profession learns from its role in the crash of 2008, and to reform legal education and research. Offering a totally new perspective, this book will be a fascinating read for law students and prospective law students, legal academics across all sub-fields, lawyers in government, especially those engaged in drafting legislation, and policymakers.
