Computational Intelligence Optimization And Inverse Problems With Applications In Engineering

Author : Gustavo Mendes Platt,Xin-She Yang,Antônio José Silva Neto
Publisher : Springer
Page : 284 pages
File Size : 53,8 Mb
Release : 2018-09-25
Category : Technology & Engineering
ISBN : 9783319964331

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Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering by Gustavo Mendes Platt,Xin-She Yang,Antônio José Silva Neto Pdf

This book focuses on metaheuristic methods and its applications to real-world problems in Engineering. The first part describes some key metaheuristic methods, such as Bat Algorithms, Particle Swarm Optimization, Differential Evolution, and Particle Collision Algorithms. Improved versions of these methods and strategies for parameter tuning are also presented, both of which are essential for the practical use of these important computational tools. The second part then applies metaheuristics to problems, mainly in Civil, Mechanical, Chemical, Electrical, and Nuclear Engineering. Other methods, such as the Flower Pollination Algorithm, Symbiotic Organisms Search, Cross-Entropy Algorithm, Artificial Bee Colonies, Population-Based Incremental Learning, Cuckoo Search, and Genetic Algorithms, are also presented. The book is rounded out by recently developed strategies, or hybrid improved versions of existing methods, such as the Lightning Optimization Algorithm, Differential Evolution with Particle Collisions, and Ant Colony Optimization with Dispersion – state-of-the-art approaches for the application of computational intelligence to engineering problems. The wide variety of methods and applications, as well as the original results to problems of practical engineering interest, represent the primary differentiation and distinctive quality of this book. Furthermore, it gathers contributions by authors from four countries – some of which are the original proponents of the methods presented – and 18 research centers around the globe.

Author : Orestes Llanes Santiago,Carlos Cruz Corona,Antônio José Silva Neto,José Luis Verdegay
Publisher : Springer Nature
Page : 301 pages
File Size : 41,8 Mb
Release : 2020-02-14
Category : Technology & Engineering
ISBN : 9783030344092

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Computational Intelligence in Emerging Technologies for Engineering Applications by Orestes Llanes Santiago,Carlos Cruz Corona,Antônio José Silva Neto,José Luis Verdegay Pdf

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

Author : Antônio José da Silva Neto,José Carlos Becceneri,Haroldo Fraga de Campos Velho
Publisher : Springer Nature
Page : 258 pages
File Size : 47,7 Mb
Release : 2024-01-13
Category : Computers
ISBN : 9783031435447

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Computational Intelligence Applied to Inverse Problems in Radiative Transfer by Antônio José da Silva Neto,José Carlos Becceneri,Haroldo Fraga de Campos Velho Pdf

This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-depth exploration of heuristic optimization methods, each meticulously described and accompanied by historical context and natural process analogies. From simulated annealing and genetic algorithms to artificial neural networks, ant colony optimization, and particle swarms, this volume presents a wide range of heuristic methods. Additional approaches such as generalized extreme optimization, particle collision, differential evolution, Luus-Jaakola, and firefly algorithms are also discussed, providing a rich repertoire of tools for tackling challenging problems. While the applications showcased primarily focus on radiative transfer, their potential extends to various domains, particularly nonlinear and large-scale problems where traditional deterministic methods fall short. With clear and comprehensive presentations, this book empowers readers to adapt each method to their specific needs. Furthermore, practical examples of classical optimization problems and application suggestions are included to enhance your understanding. This book is suitable to any researcher or practitioner whose interests lie on optimization techniques based in artificial intelligence and bio-inspired algorithms, in fields like Applied Mathematics, Engineering, Computing, and cross-disciplinary areas.

Author : Antônio José da Silva Neto,Orestes Llanes Santiago,Geraldo Nunes Silva
Publisher : Springer
Page : 179 pages
File Size : 46,9 Mb
Release : 2016-08-12
Category : Mathematics
ISBN : 9783319388694

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Mathematical Modeling and Computational Intelligence in Engineering Applications by Antônio José da Silva Neto,Orestes Llanes Santiago,Geraldo Nunes Silva Pdf

This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.

Author : Mario Köppen,Gerald Schaefer,Ajith Abraham
Publisher : Springer
Page : 400 pages
File Size : 47,8 Mb
Release : 2011-07-15
Category : Technology & Engineering
ISBN : 9783642217050

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Intelligent Computational Optimization in Engineering by Mario Köppen,Gerald Schaefer,Ajith Abraham Pdf

We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches. This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry.

Author : Yoel Tenne,Chi-Keong Goh
Publisher : Springer Science & Business Media
Page : 412 pages
File Size : 52,6 Mb
Release : 2010-06-30
Category : Technology & Engineering
ISBN : 9783642127755

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Computational Intelligence in Optimization by Yoel Tenne,Chi-Keong Goh Pdf

This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.

Author : Nirwan Ansari,Edwin Hou
Publisher : Springer Science & Business Media
Page : 228 pages
File Size : 51,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461563310

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Computational Intelligence for Optimization by Nirwan Ansari,Edwin Hou Pdf

The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal ing, stochastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book is intended to provide a technical description on the state-of-the-art development in advanced optimization techniques, specifically heuristic search, neural networks, simulated annealing, stochastic machines, mean field theory, and genetic algorithms, with emphasis on mathematical theory, implementa tion, and practical applications. The text is suitable for a first-year graduate course in electrical and computer engineering, computer science, and opera tional research programs. It may also be used as a reference for practicing engineers, scientists, operational researchers, and other specialists. This book is an outgrowth of a couple of special topic courses that we have been teaching for the past five years. In addition, it includes many results from our inter disciplinary research on the topic. The aforementioned advanced optimization techniques have received increasing attention over the last decade, but relatively few books have been produced.

Author : Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht
Publisher : Springer Science & Business Media
Page : 531 pages
File Size : 40,5 Mb
Release : 2009-04-27
Category : Computers
ISBN : 9783642010842

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Foundations of Computational Intelligence Volume 3 by Ajith Abraham,Aboul-Ella Hassanien,Patrick Siarry,Andries Engelbrecht Pdf

Global optimization is a branch of applied mathematics and numerical analysis that deals with the task of finding the absolutely best set of admissible conditions to satisfy certain criteria / objective function(s), formulated in mathematical terms. Global optimization includes nonlinear, stochastic and combinatorial programming, multiobjective programming, control, games, geometry, approximation, algorithms for parallel architectures and so on. Due to its wide usage and applications, it has gained the attention of researchers and practitioners from a plethora of scientific domains. Typical practical examples of global optimization applications include: Traveling salesman problem and electrical circuit design (minimize the path length); safety engineering (building and mechanical structures); mathematical problems (Kepler conjecture); Protein structure prediction (minimize the energy function) etc. Global Optimization algorithms may be categorized into several types: Deterministic (example: branch and bound methods), Stochastic optimization (example: simulated annealing). Heuristics and meta-heuristics (example: evolutionary algorithms) etc. Recently there has been a growing interest in combining global and local search strategies to solve more complicated optimization problems. This edited volume comprises 17 chapters, including several overview Chapters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of global optimization. Besides research articles and expository papers on theory and algorithms of global optimization, papers on numerical experiments and on real world applications were also encouraged. The book is divided into 2 main parts.

Author : Ryszard Klempous,Jan Nikodem,Witold Jacak,Zenon Chaczko
Publisher : Springer Science & Business Media
Page : 408 pages
File Size : 40,9 Mb
Release : 2013-07-20
Category : Technology & Engineering
ISBN : 9783319014364

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Advanced Methods and Applications in Computational Intelligence by Ryszard Klempous,Jan Nikodem,Witold Jacak,Zenon Chaczko Pdf

This book offers an excellent presentation of intelligent engineering and informatics foundations for researchers in this field as well as many examples with industrial application. It contains extended versions of selected papers presented at the inaugural ACASE 2012 Conference dedicated to the Applications of Systems Engineering. This conference was held from the 6th to the 8th of February 2012, at the University of Technology, Sydney, Australia, organized by the University of Technology, Sydney (Australia), Wroclaw University of Technology (Poland) and the University of Applied Sciences in Hagenberg (Austria). The book is organized into three main parts. Part I contains papers devoted to the heuristic approaches that are applicable in situations where the problem cannot be solved by exact methods, due to various characteristics or dimensionality problems. Part II covers essential issues of the network management, presents intelligent models of the next generation of networks and distributed systems as well as discusses applications of modern numerical methods in large intractable systems. Part III covers salient issues of complexity in intelligent system applications. This part also contains papers and articles which discuss concurrency issues that arise when multiple systems attempt to use the same radio space and the inter-connected system applications in the field of medical simulation and training.

Author : Yoel Tenne,Chi-Keong Goh
Publisher : Springer Science & Business Media
Page : 800 pages
File Size : 48,5 Mb
Release : 2010-03-10
Category : Technology & Engineering
ISBN : 9783642107016

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Computational Intelligence in Expensive Optimization Problems by Yoel Tenne,Chi-Keong Goh Pdf

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc. Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. This is the first book to introduce the emerging field of computational intelligence in expensive optimization problems. Topics covered include: dedicated implementations of evolutionary algorithms, neural networks and fuzzy logic. reduction of expensive evaluations (modelling, variable-fidelity, fitness inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation issues on clusters, grids, parallel machines), incorporation of expert systems and human-system interface, single and multiobjective algorithms, data mining and statistical analysis, analysis of real-world cases (such as multidisciplinary design optimization). The edited book provides both theoretical treatments and real-world insights gained by experience, all contributed by leading researchers in the respective fields. As such, it is a comprehensive reference for researchers, practitioners, and advanced-level students interested in both the theory and practice of using computational intelligence for expensive optimization problems.

Author : Pijush Samui,Dookie Kim,Nagesh R. Iyer,Sandeep Chaudhary
Publisher : Butterworth-Heinemann
Page : 1105 pages
File Size : 47,6 Mb
Release : 2020-07-07
Category : Technology & Engineering
ISBN : 9780128190753

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New Materials in Civil Engineering by Pijush Samui,Dookie Kim,Nagesh R. Iyer,Sandeep Chaudhary Pdf

New Materials in Civil Engineering provides engineers and scientists with the tools and methods needed to meet the challenge of designing and constructing more resilient and sustainable infrastructures. This book is a valuable guide to the properties, selection criteria, products, applications, lifecycle and recyclability of advanced materials. It presents an A-to-Z approach to all types of materials, highlighting their key performance properties, principal characteristics and applications. Traditional materials covered include concrete, soil, steel, timber, fly ash, geosynthetic, fiber-reinforced concrete, smart materials, carbon fiber and reinforced polymers. In addition, the book covers nanotechnology and biotechnology in the development of new materials. Covers a variety of materials, including fly ash, geosynthetic, fiber-reinforced concrete, smart materials, carbon fiber reinforced polymer and waste materials Provides a “one-stop resource of information for the latest materials and practical applications Includes a variety of different use case studies

Author : Xin-She Yang,Slawomir Koziel
Publisher : Springer Science & Business Media
Page : 282 pages
File Size : 49,5 Mb
Release : 2011-06-19
Category : Computers
ISBN : 9783642209857

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Computational Optimization and Applications in Engineering and Industry by Xin-She Yang,Slawomir Koziel Pdf

Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide range of applications and contributed from worldwide experts who are working in these exciting areas. Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire.

Author : Anonim
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 51,7 Mb
Release : 1997
Category : Engineering design
ISBN : 0387982868

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Large-Scale Optimization with Applications by Anonim Pdf

Author : Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya
Publisher : Springer
Page : 275 pages
File Size : 53,7 Mb
Release : 2019-08-10
Category : Technology & Engineering
ISBN : 9789811392634

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Applied Nature-Inspired Computing: Algorithms and Case Studies by Nilanjan Dey,Amira S. Ashour,Siddhartha Bhattacharyya Pdf

This book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management.

Author : Guillermo Valencia-Palomo,Francisco-Ronay López-Estrada,Damiano Rotondo
Publisher : MDPI
Page : 500 pages
File Size : 53,8 Mb
Release : 2020-04-01
Category : Technology & Engineering
ISBN : 9783039284405

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Optimization for Control, Observation and Safety by Guillermo Valencia-Palomo,Francisco-Ronay López-Estrada,Damiano Rotondo Pdf

Mathematical optimization is the selection of the best element in a set with respect to a given criterion. Optimization has become one of the most used tools in control theory to compute control laws, adjust parameters (tuning), estimate states, fit model parameters, find conditions in order to fulfill a given closed-loop property, among others. Optimization also plays an important role in the design of fault detection and isolation systems to prevent safety hazards and production losses that require the detection and identification of faults, as early as possible to minimize their impacts by implementing real-time fault detection and fault-tolerant systems. Recently, it has been proven that many optimization problems with convex objective functions and linear matrix inequality (LMI) constraints can be solved easily and efficiently using existing software, which increases the flexibility and applicability of the control algorithms. Therefore, real-world control systems need to comply with several conditions and constraints that have to be taken into account in the problem formulation, which represents a challenge in the application of the optimization algorithms. This book offers an overview of the state-of-the-art of the most advanced optimization techniques and their applications in control engineering.