Numerical And Evolutionary Optimization 2018

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Numerical and Evolutionary Optimization 2018

Author : Adriana Lara
Publisher : MDPI
ISBN 13 : 3039218166
Total Pages : 230 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Numerical and Evolutionary Optimization 2018 by : Adriana Lara

Download or read book Numerical and Evolutionary Optimization 2018 written by Adriana Lara and published by MDPI. This book was released on 2019-11-19 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was established after the 6th International Workshop on Numerical and Evolutionary Optimization (NEO), representing a collection of papers on the intersection of the two research areas covered at this workshop: numerical optimization and evolutionary search techniques. While focusing on the design of fast and reliable methods lying across these two paradigms, the resulting techniques are strongly applicable to a broad class of real-world problems, such as pattern recognition, routing, energy, lines of production, prediction, and modeling, among others. This volume is intended to serve as a useful reference for mathematicians, engineers, and computer scientists to explore current issues and solutions emerging from these mathematical and computational methods and their applications.

Numerical and Evolutionary Optimization – NEO 2017

Author : Leonardo Trujillo
Publisher : Springer
ISBN 13 : 3319961047
Total Pages : 320 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Numerical and Evolutionary Optimization – NEO 2017 by : Leonardo Trujillo

Download or read book Numerical and Evolutionary Optimization – NEO 2017 written by Leonardo Trujillo and published by Springer. This book was released on 2018-07-12 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features 15 chapters based on the Numerical and Evolutionary Optimization (NEO 2017) workshop, held from September 27 to 29 in the city of Tijuana, Mexico. The event gathered researchers from two complimentary fields to discuss the theory, development and application of state-of-the-art techniques to address search and optimization problems. The lively event included 7 invited talks and 64 regular talks covering a wide range of topics, from evolutionary computer vision and machine learning with evolutionary computation, to set oriented numeric and steepest descent techniques. Including research submitted by the NEO community, the book provides informative and stimulating material for future research in the field.

Data-Driven Evolutionary Optimization

Author : Yaochu Jin
Publisher : Springer Nature
ISBN 13 : 3030746402
Total Pages : 393 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Data-Driven Evolutionary Optimization by : Yaochu Jin

Download or read book Data-Driven Evolutionary Optimization written by Yaochu Jin and published by Springer Nature. This book was released on 2021-06-28 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.

Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

Author : Oliver Schütze
Publisher : Springer Nature
ISBN 13 : 3030637735
Total Pages : 242 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms by : Oliver Schütze

Download or read book Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms written by Oliver Schütze and published by Springer Nature. This book was released on 2021-01-04 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the field of multi-objective optimization.

Evolutionary Computation

Author : Gai-Ge Wang
Publisher : MDPI
ISBN 13 : 3039219286
Total Pages : 424 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Evolutionary Computation by : Gai-Ge Wang

Download or read book Evolutionary Computation written by Gai-Ge Wang and published by MDPI. This book was released on 2019-11-28 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism, imitate the behavior of the animal's group, mimic the characteristics of human thought, language, and memory processes, or mimic the physical phenomena of nature, hoping to simulate the wisdom of nature and humanity enables an optimal solution to the problem and solves an acceptable solution in an acceptable time. Computational intelligent algorithms have received extensive attention at home and abroad, and have become an important research direction of artificial intelligence and computer science. This book will introduce the application of intelligent optimization algorithms in detail from the aspects of computational intelligence, job shop scheduling problems, multi-objective optimization problems, and machine learning

The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018)

Author : Aboul Ella Hassanien
Publisher : Springer
ISBN 13 : 3319746901
Total Pages : 726 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) by : Aboul Ella Hassanien

Download or read book The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018) written by Aboul Ella Hassanien and published by Springer. This book was released on 2018-01-25 with total page 726 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the refereed proceedings of the third International Conference on Advanced Machine Learning Technologies and Applications, AMLTA 2018, held in Cairo, Egypt, on February 22–24, 2018, and organized by the Scientific Research Group in Egypt (SRGE). The papers cover current research in machine learning, big data, Internet of Things, biomedical engineering, fuzzy logic, security, and intelligence swarms and optimization.

Smart Applications with Advanced Machine Learning and Human-Centred Problem Design

Author : D. Jude Hemanth
Publisher : Springer Nature
ISBN 13 : 303109753X
Total Pages : 801 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Smart Applications with Advanced Machine Learning and Human-Centred Problem Design by : D. Jude Hemanth

Download or read book Smart Applications with Advanced Machine Learning and Human-Centred Problem Design written by D. Jude Hemanth and published by Springer Nature. This book was released on 2023-01-01 with total page 801 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together the most recent, quality research papers accepted and presented in the 3rd International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2021) held in Antalya, Turkey between 1-3 October 2021. Objective of the content is to provide important and innovative research for developments-improvements within different engineering fields, which are highly interested in using artificial intelligence and applied mathematics. As a collection of the outputs from the ICAIAME 2021, the book is specifically considering research outcomes including advanced use of machine learning and careful problem designs on human-centred aspects. In this context, it aims to provide recent applications for real-world improvements making life easier and more sustainable for especially humans. The book targets the researchers, degree students, and practitioners from both academia and the industry.

Data Driven Methods for Civil Structural Health Monitoring and Resilience

Author : Mohammad Noori
Publisher : CRC Press
ISBN 13 : 1000965589
Total Pages : 459 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Data Driven Methods for Civil Structural Health Monitoring and Resilience by : Mohammad Noori

Download or read book Data Driven Methods for Civil Structural Health Monitoring and Resilience written by Mohammad Noori and published by CRC Press. This book was released on 2023-10-26 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.

Computer Supported Cooperative Work and Social Computing

Author : Yuqing Sun
Publisher : Springer Nature
ISBN 13 : 9811945462
Total Pages : 650 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Computer Supported Cooperative Work and Social Computing by : Yuqing Sun

Download or read book Computer Supported Cooperative Work and Social Computing written by Yuqing Sun and published by Springer Nature. This book was released on 2022-07-19 with total page 650 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26–28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis. The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections: Volume I: Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications; Volume II: Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.

Differential Evolution: From Theory to Practice

Author : B. Vinoth Kumar
Publisher : Springer Nature
ISBN 13 : 9811680825
Total Pages : 389 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Differential Evolution: From Theory to Practice by : B. Vinoth Kumar

Download or read book Differential Evolution: From Theory to Practice written by B. Vinoth Kumar and published by Springer Nature. This book was released on 2022-01-25 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses and disseminates state-of-the-art research and development of differential evolution (DE) and its recent advances, such as the development of adaptive, self-adaptive and hybrid techniques. Differential evolution is a population-based meta-heuristic technique for global optimization capable of handling non-differentiable, non-linear and multi-modal objective functions. Many advances have been made recently in differential evolution, from theory to applications. This book comprises contributions which include theoretical developments in DE, performance comparisons of DE, hybrid DE approaches, parallel and distributed DE for multi-objective optimization, software implementations, and real-world applications. The book is useful for researchers, practitioners, and students in disciplines such as optimization, heuristics, operations research and natural computing.

Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing

Author : Aleš Zamuda
Publisher : Springer Nature
ISBN 13 : 3030378381
Total Pages : 224 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing by : Aleš Zamuda

Download or read book Swarm, Evolutionary, and Memetic Computing and Fuzzy and Neural Computing written by Aleš Zamuda and published by Springer Nature. This book was released on 2020-01-02 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes the thoroughly refereed post-conference proceedings of the 7th International Conference on Swarm, Evolutionary, and Memetic Computing, SEMCCO 2019, and 5th International Conference on Fuzzy and Neural Computing, FANCCO 2019, held in Maribor, Slovenia, in July 2019. The 18 full papers presented in this volume were carefully reviewed and selected from a total of 31 submissions for inclusion in the proceedings. The papers cover a wide range of topics in swarm, evolutionary, memetic and other intelligent computing algorithms and their real world applications in problems selected from diverse domains of science and engineering.

Nature-Inspired Optimization Algorithms

Author : Xin-She Yang
Publisher : Academic Press
ISBN 13 : 0128219890
Total Pages : 312 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Nature-Inspired Optimization Algorithms by : Xin-She Yang

Download or read book Nature-Inspired Optimization Algorithms written by Xin-She Yang and published by Academic Press. This book was released on 2020-09-09 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-Inspired Optimization Algorithms, Second Edition provides an introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literature with case studies to illustrate how these algorithms work. Topics include particle swarm optimization, ant and bee algorithms, simulated annealing, cuckoo search, firefly algorithm, bat algorithm, flower algorithm, harmony search, algorithm analysis, constraint handling, hybrid methods, parameter tuning and control, and multi-objective optimization. This book can serve as an introductory book for graduates, for lecturers in computer science, engineering and natural sciences, and as a source of inspiration for new applications. - Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature - Provides a theoretical understanding and practical implementation hints - Presents a step-by-step introduction to each algorithm - Includes four new chapters covering mathematical foundations, techniques for solving discrete and combination optimization problems, data mining techniques and their links to optimization algorithms, and the latest deep learning techniques, background and various applications

Cyber-Physical Systems: Advances in Design & Modelling

Author : Alla G. Kravets
Publisher : Springer Nature
ISBN 13 : 3030325792
Total Pages : 340 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Cyber-Physical Systems: Advances in Design & Modelling by : Alla G. Kravets

Download or read book Cyber-Physical Systems: Advances in Design & Modelling written by Alla G. Kravets and published by Springer Nature. This book was released on 2019-11-25 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents new findings on cyber-physical systems design and modelling approaches based on AI and data-driven techniques, identifying the key industrial challenges and the main features of design and modelling processes. To enhance the efficiency of the design process, it proposes new approaches based on the concept of digital twins. Further, it substantiates the scientific, practical, and methodological approaches to modelling and simulating of cyber-physical systems. Exploring digital twins of cyber-physical systems as well as of production systems, it proposes combining both mathematical models and data processing techniques as advanced methods for cyber-physical system design and modelling. Moreover, it presents the implementation of the developed prototypes, including testing in real industries, which have collected and analyzed big data and proved their effectiveness. The book is intended for practitioners, enterprise representatives, scientists, and Ph.D. and master’s students interested in the research and applications of cyber-physical systems in different domains.

Optimization Methods Applied to Power Systems Ⅱ

Author : Francisco G. Montoya
Publisher : MDPI
ISBN 13 : 3036503587
Total Pages : 350 pages
Book Rating : 4.0/5 (365 download)

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Book Synopsis Optimization Methods Applied to Power Systems Ⅱ by : Francisco G. Montoya

Download or read book Optimization Methods Applied to Power Systems Ⅱ written by Francisco G. Montoya and published by MDPI. This book was released on 2021-03-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electrical power systems are complex networks that include a set of electrical components that allow distributing the electricity generated in the conventional and renewable power plants to distribution systems so it can be received by final consumers (businesses and homes). In practice, power system management requires solving different design, operation, and control problems. Bearing in mind that computers are used to solve these complex optimization problems, this book includes some recent contributions to this field that cover a large variety of problems. More specifically, the book includes contributions about topics such as controllers for the frequency response of microgrids, post-contingency overflow analysis, line overloads after line and generation contingences, power quality disturbances, earthing system touch voltages, security-constrained optimal power flow, voltage regulation planning, intermittent generation in power systems, location of partial discharge source in gas-insulated switchgear, electric vehicle charging stations, optimal power flow with photovoltaic generation, hydroelectric plant location selection, cold-thermal-electric integrated energy systems, high-efficiency resonant devices for microwave power generation, security-constrained unit commitment, and economic dispatch problems.

Handbook of AI-based Metaheuristics

Author : Anand J. Kulkarni
Publisher : CRC Press
ISBN 13 : 1000434257
Total Pages : 584 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of AI-based Metaheuristics by : Anand J. Kulkarni

Download or read book Handbook of AI-based Metaheuristics written by Anand J. Kulkarni and published by CRC Press. This book was released on 2021-09-01 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the heart of the optimization domain are mathematical modeling of the problem and the solution methodologies. The problems are becoming larger and with growing complexity. Such problems are becoming cumbersome when handled by traditional optimization methods. This has motivated researchers to resort to artificial intelligence (AI)-based, nature-inspired solution methodologies or algorithms. The Handbook of AI-based Metaheuristics provides a wide-ranging reference to the theoretical and mathematical formulations of metaheuristics, including bio-inspired, swarm-based, socio-cultural, and physics-based methods or algorithms; their testing and validation, along with detailed illustrative solutions and applications; and newly devised metaheuristic algorithms. This will be a valuable reference for researchers in industry and academia, as well as for all Master’s and PhD students working in the metaheuristics and applications domains.

Intelligent Learning for Computer Vision

Author : Harish Sharma
Publisher : Springer Nature
ISBN 13 : 9813345829
Total Pages : 591 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Intelligent Learning for Computer Vision by : Harish Sharma

Download or read book Intelligent Learning for Computer Vision written by Harish Sharma and published by Springer Nature. This book was released on 2021-05-19 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of selected papers presented at the First Congress on Intelligent Systems (CIS 2020), held in New Delhi, India, during September 5–6, 2020. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry. It covers selected papers in the area of computer vision. This book covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture in dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the productivity in agricultural domain.

Evolutionary Computation & Swarm Intelligence

Author : Fabio Caraffini
Publisher : MDPI
ISBN 13 : 3039434543
Total Pages : 286 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Evolutionary Computation & Swarm Intelligence by : Fabio Caraffini

Download or read book Evolutionary Computation & Swarm Intelligence written by Fabio Caraffini and published by MDPI. This book was released on 2020-11-25 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast majority of real-world problems can be expressed as an optimisation task by formulating an objective function, also known as cost or fitness function. The most logical methods to optimise such a function when (1) an analytical expression is not available, (2) mathematical hypotheses do not hold, and (3) the dimensionality of the problem or stringent real-time requirements make it infeasible to find an exact solution mathematically are from the field of Evolutionary Computation (EC) and Swarm Intelligence (SI). The latter are broad and still growing subjects in Computer Science in the study of metaheuristic approaches, i.e., those approaches which do not make any assumptions about the problem function, inspired from natural phenomena such as, in the first place, the evolution process and the collaborative behaviours of groups of animals and communities, respectively. This book contains recent advances in the EC and SI fields, covering most themes currently receiving a great deal of attention such as benchmarking and tunning of optimisation algorithms, their algorithm design process, and their application to solve challenging real-world problems to face large-scale domains.