Advances In Metaheuristics

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Meta-Heuristics

Stefan Voß,Silvano Martello,Ibrahim H. Osman,Cathérine Roucairol
Meta Heuristics Book PDF

Author : Stefan Voß,Silvano Martello,Ibrahim H. Osman,Cathérine Roucairol
Publisher : Springer Science & Business Media
Page : 513 pages
File Size : 53,6 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9781461557753

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Meta-Heuristics by Stefan Voß,Silvano Martello,Ibrahim H. Osman,Cathérine Roucairol Pdf

Meta-Heuristics: Advances and Trends in Local Search Paradigms for Optimizations comprises a carefully refereed selection of extended versions of the best papers presented at the Second Meta-Heuristics Conference (MIC 97). The selected articles describe the most recent developments in theory and applications of meta-heuristics, heuristics for specific problems, and comparative case studies. The book is divided into six parts, grouped mainly by the techniques considered. The extensive first part with twelve papers covers tabu search and its application to a great variety of well-known combinatorial optimization problems (including the resource-constrained project scheduling problem and vehicle routing problems). In the second part we find one paper where tabu search and simulated annealing are investigated comparatively and two papers which consider hybrid methods combining tabu search with genetic algorithms. The third part has four papers on genetic and evolutionary algorithms. Part four arrives at a new paradigm within meta-heuristics. The fifth part studies the behavior of parallel local search algorithms mainly from a tabu search perspective. The final part examines a great variety of additional meta-heuristics topics, including neural networks and variable neighbourhood search as well as guided local search. Furthermore, the integration of meta-heuristics with the branch-and-bound paradigm is investigated.

Advances in Metaheuristics

Luca Di Gaspero,Andrea Schaerf,Thomas Stützle
Advances in Metaheuristics Book PDF

Author : Luca Di Gaspero,Andrea Schaerf,Thomas Stützle
Publisher : Springer Science & Business Media
Page : 193 pages
File Size : 43,8 Mb
Release : 2013-03-01
Category : Business & Economics
ISBN : 9781461463221

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Advances in Metaheuristics by Luca Di Gaspero,Andrea Schaerf,Thomas Stützle Pdf

Metaheuristics have been a very active research topic for more than two decades. During this time many new metaheuristic strategies have been devised, they have been experimentally tested and improved on challenging benchmark problems, and they have proven to be important tools for tackling optimization tasks in a large number of practical applications. In other words, metaheuristics are nowadays established as one of the main search paradigms for tackling computationally hard problems. Still, there are a large number of research challenges in the area of metaheuristics. These challenges range from more fundamental questions on theoretical properties and performance guarantees, empirical algorithm analysis, the effective configuration of metaheuristic algorithms, approaches to combine metaheuristics with other algorithmic techniques, towards extending the available techniques to tackle ever more challenging problems. This edited volume grew out of the contributions presented at the ninth Metaheuristics International Conference that was held in Udine, Italy, 25-28 July 2011. The conference comprised 117 presentations of peer-reviewed contributions and 3 invited talks, and it has been attended by 169 delegates. The chapters that are collected in this book exemplify contributions to several of the research directions outlined above.

Metaheuristic Algorithms in Industry 4.0

Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry
Metaheuristic Algorithms in Industry 4 0 Book PDF

Author : Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry
Publisher : CRC Press
Page : 302 pages
File Size : 52,9 Mb
Release : 2021-09-29
Category : Computers
ISBN : 9781000435986

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Metaheuristic Algorithms in Industry 4.0 by Pritesh Shah,Ravi Sekhar,Anand J. Kulkarni,Patrick Siarry Pdf

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artificial Intelligence methods can be applied to the ever-increasing process data to achieve robust control against foreseen and unforeseen system fluctuations. Smart computing techniques, machine learning, deep learning, computer vision, for example, will be inseparable from the highly automated factories of tomorrow. Effective cybersecurity will be a must for all Internet of Things (IoT) enabled work and office spaces. This book addresses metaheuristics in all aspects of Industry 4.0. It covers metaheuristic applications in IoT, cyber physical systems, control systems, smart computing, artificial intelligence, sensor networks, robotics, cybersecurity, smart factory, predictive analytics and more. Key features: Includes industrial case studies. Includes chapters on cyber physical systems, machine learning, deep learning, cybersecurity, robotics, smart manufacturing and predictive analytics. surveys current trends and challenges in metaheuristics and industry 4.0. Metaheuristic Algorithms in Industry 4.0 provides a guiding light to engineers, researchers, students, faculty and other professionals engaged in exploring and implementing industry 4.0 solutions in various systems and processes.

Handbook of Metaheuristics

Michel Gendreau,Jean-Yves Potvin
Handbook of Metaheuristics Book PDF

Author : Michel Gendreau,Jean-Yves Potvin
Publisher : Springer
Page : 611 pages
File Size : 50,9 Mb
Release : 2018-09-20
Category : Business & Economics
ISBN : 9783319910864

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Handbook of Metaheuristics by Michel Gendreau,Jean-Yves Potvin Pdf

The third edition of this handbook is designed to provide a broad coverage of the concepts, implementations, and applications in metaheuristics. The book’s chapters serve as stand-alone presentations giving both the necessary underpinnings as well as practical guides for implementation. The nature of metaheuristics invites an analyst to modify basic methods in response to problem characteristics, past experiences, and personal preferences, and the chapters in this handbook are designed to facilitate this process as well. This new edition has been fully revised and features new chapters on swarm intelligence and automated design of metaheuristics from flexible algorithm frameworks. The authors who have contributed to this volume represent leading figures from the metaheuristic community and are responsible for pioneering contributions to the fields they write about. Their collective work has significantly enriched the field of optimization in general and combinatorial optimization in particular.Metaheuristics are solution methods that orchestrate an interaction between local improvement procedures and higher level strategies to create a process capable of escaping from local optima and performing a robust search of a solution space. In addition, many new and exciting developments and extensions have been observed in the last few years. Hybrids of metaheuristics with other optimization techniques, like branch-and-bound, mathematical programming or constraint programming are also increasingly popular. On the front of applications, metaheuristics are now used to find high-quality solutions to an ever-growing number of complex, ill-defined real-world problems, in particular combinatorial ones. This handbook should continue to be a great reference for researchers, graduate students, as well as practitioners interested in metaheuristics.

Lie Groups and Algebraic Groups

Arkadij L. Onishchik,Ernest B. Vinberg
Lie Groups and Algebraic Groups Book PDF

Author : Arkadij L. Onishchik,Ernest B. Vinberg
Publisher : Springer Science & Business Media
Page : 347 pages
File Size : 47,5 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9783642743344

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Lie Groups and Algebraic Groups by Arkadij L. Onishchik,Ernest B. Vinberg Pdf

This book is based on the notes of the authors' seminar on algebraic and Lie groups held at the Department of Mechanics and Mathematics of Moscow University in 1967/68. Our guiding idea was to present in the most economic way the theory of semisimple Lie groups on the basis of the theory of algebraic groups. Our main sources were A. Borel's paper [34], C. ChevalIey's seminar [14], seminar "Sophus Lie" [15] and monographs by C. Chevalley [4], N. Jacobson [9] and J-P. Serre [16, 17]. In preparing this book we have completely rearranged these notes and added two new chapters: "Lie groups" and "Real semisimple Lie groups". Several traditional topics of Lie algebra theory, however, are left entirely disregarded, e.g. universal enveloping algebras, characters of linear representations and (co)homology of Lie algebras. A distinctive feature of this book is that almost all the material is presented as a sequence of problems, as it had been in the first draft of the seminar's notes. We believe that solving these problems may help the reader to feel the seminar's atmosphere and master the theory. Nevertheless, all the non-trivial ideas, and sometimes solutions, are contained in hints given at the end of each section. The proofs of certain theorems, which we consider more difficult, are given directly in the main text. The book also contains exercises, the majority of which are an essential complement to the main contents.

Essays and Surveys in Metaheuristics

Celso C. Ribeiro,Pierre Hansen
Essays and Surveys in Metaheuristics Book PDF

Author : Celso C. Ribeiro,Pierre Hansen
Publisher : Springer Science & Business Media
Page : 647 pages
File Size : 50,6 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461515074

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Essays and Surveys in Metaheuristics by Celso C. Ribeiro,Pierre Hansen Pdf

Finding exact solutions to many combinatorial optimization problems in busi ness, engineering, and science still poses a real challenge, despite the impact of recent advances in mathematical programming and computer technology. New fields of applications, such as computational biology, electronic commerce, and supply chain management, bring new challenges and needs for algorithms and optimization techniques. Metaheuristics are master procedures that guide and modify the operations of subordinate heuristics, to produce improved approx imate solutions to hard optimization problems with respect to more simple algorithms. They also provide fast and robust tools, producing high-quality solutions in reasonable computation times. The field of metaheuristics has been fast evolving in recent years. Tech niques such as simulated annealing, tabu search, genetic algorithms, scatter search, greedy randomized adaptive search, variable neighborhood search, ant systems, and their hybrids are currently among the most efficient and robust optimization strategies to find high-quality solutions to many real-life optimiza tion problems. A very large nmnber of successful applications of metaheuristics are reported in the literature and spread throughout many books, journals, and conference proceedings. A series of international conferences entirely devoted to the theory, applications, and computational developments in metaheuristics has been attracting an increasing number of participants, from universities and the industry.

Advancements in Applied Metaheuristic Computing

Dey, Nilanjan
Advancements in Applied Metaheuristic Computing Book PDF

Author : Dey, Nilanjan
Publisher : IGI Global
Page : 335 pages
File Size : 54,9 Mb
Release : 2017-11-30
Category : Computers
ISBN : 9781522541523

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Advancements in Applied Metaheuristic Computing by Dey, Nilanjan Pdf

Metaheuristic algorithms are present in various applications for different domains. Recently, researchers have conducted studies on the effectiveness of these algorithms in providing optimal solutions to complicated problems. Advancements in Applied Metaheuristic Computing is a crucial reference source for the latest empirical research on methods and approaches that include metaheuristics for further system improvements, and it offers outcomes of employing optimization algorithms. Featuring coverage on a broad range of topics such as manufacturing, genetic programming, and medical imaging, this publication is ideal for researchers, academicians, advanced-level students, and technology developers seeking current research on the use of optimization algorithms in several applications.

Metaheuristics for Combinatorial Optimization

Salvatore Greco,Mario F. Pavone,El-Ghazali Talbi,Daniele Vigo
Metaheuristics for Combinatorial Optimization Book PDF

Author : Salvatore Greco,Mario F. Pavone,El-Ghazali Talbi,Daniele Vigo
Publisher : Springer Nature
Page : 69 pages
File Size : 44,8 Mb
Release : 2021-02-13
Category : Technology & Engineering
ISBN : 9783030685201

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Metaheuristics for Combinatorial Optimization by Salvatore Greco,Mario F. Pavone,El-Ghazali Talbi,Daniele Vigo Pdf

This book presents novel and original metaheuristics developed to solve the cost-balanced traveling salesman problem. This problem was taken into account for the Metaheuristics Competition proposed in MESS 2018, Metaheuristics Summer School, and the top 4 methodologies ranked are included in the book, together with a brief introduction to the traveling salesman problem and all its variants. The book is aimed particularly at all researchers in metaheuristics and combinatorial optimization areas. Key uses are metaheuristics; complex problem solving; combinatorial optimization; traveling salesman problem.

Hybrid Genetic Optimization for IC Chips Thermal Control

Mathew V. K.,Tapano Kumar Hotta
Hybrid Genetic Optimization for IC Chips Thermal Control Book PDF

Author : Mathew V. K.,Tapano Kumar Hotta
Publisher : CRC Press
Page : 162 pages
File Size : 44,9 Mb
Release : 2022-06-07
Category : Computers
ISBN : 9781000590432

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Hybrid Genetic Optimization for IC Chips Thermal Control by Mathew V. K.,Tapano Kumar Hotta Pdf

The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of electronic components have led to the monumental rise of volumetric heat generation in electronic components. Hybrid Genetic Optimization for IC Chips Thermal Control: With MATLAB® Applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on a switch-mode power supply (SMPS) board and cooled using air under various heat transfer modes. Seven asymmetric protruding IC chips mounted at different positions on an SMPS board are considered in the present study that is supplied with non-uniform heat fluxes. Key Features: Provides guidance on performance enhancement and reliability of IC chips Provides a detailed hybrid optimization strategy for the optimal arrangement of IC chips on a board The MATLAB program for the hybrid optimization strategy along with its stability analysis is carried out in a detailed manner Enables thermal design engineers to identify the positioning of IC chips on the board to increase their reliability and working cycle

Metaheuristics in Water, Geotechnical and Transport Engineering

Xin-She Yang,Amir Hossein Gandomi,Siamak Talatahari,Amir Hossein Alavi
Metaheuristics in Water Geotechnical and Transport Engineering Book PDF

Author : Xin-She Yang,Amir Hossein Gandomi,Siamak Talatahari,Amir Hossein Alavi
Publisher : Newnes
Page : 503 pages
File Size : 53,9 Mb
Release : 2012-09
Category : Computers
ISBN : 9780123982964

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Metaheuristics in Water, Geotechnical and Transport Engineering by Xin-She Yang,Amir Hossein Gandomi,Siamak Talatahari,Amir Hossein Alavi Pdf

Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines the latest developments of metaheuristics and their applications in water, geotechnical and transport engineering offering practical case studies as examples to demonstrate real world applications. Topics cover a range of areas within engineering, including reviews of optimization algorithms, artificial intelligence, cuckoo search, genetic programming, neural networks, multivariate adaptive regression, swarm intelligence, genetic algorithms, ant colony optimization, evolutionary multiobjective optimization with diverse applications in engineering such as behavior of materials, geotechnical design, flood control, water distribution and signal networks. This book can serve as a supplementary text for design courses and computation in engineering as well as a reference for researchers and engineers in metaheursitics, optimization in civil engineering and computational intelligence. Provides detailed descriptions of all major metaheuristic algorithms with a focus on practical implementation Develops new hybrid and advanced methods suitable for civil engineering problems at all levels Appropriate for researchers and advanced students to help to develop their work

Advances in Metaheuristics

Timothy Ganesan,Pandian Vasant,Irraivan Elamvazuthi
Advances in Metaheuristics Book PDF

Author : Timothy Ganesan,Pandian Vasant,Irraivan Elamvazuthi
Publisher : CRC Press
Page : 182 pages
File Size : 42,9 Mb
Release : 2016-11-28
Category : Business & Economics
ISBN : 9781315297637

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Advances in Metaheuristics by Timothy Ganesan,Pandian Vasant,Irraivan Elamvazuthi Pdf

Advances in Metaheuristics: Applications in Engineering Systems provides details on current approaches utilized in engineering optimization. It gives a comprehensive background on metaheuristic applications, focusing on main engineering sectors such as energy, process, and materials. It discusses topics such as algorithmic enhancements and performance measurement approaches, and provides insights into the implementation of metaheuristic strategies to multi-objective optimization problems. With this book, readers can learn to solve real-world engineering optimization problems effectively using the appropriate techniques from emerging fields including evolutionary and swarm intelligence, mathematical programming, and multi-objective optimization. The ten chapters of this book are divided into three parts. The first part discusses three industrial applications in the energy sector. The second focusses on process optimization and considers three engineering applications: optimization of a three-phase separator, process plant, and a pre-treatment process. The third and final part of this book covers industrial applications in material engineering, with a particular focus on sand mould-systems. It also includes discussions on the potential improvement of algorithmic characteristics via strategic algorithmic enhancements. This book helps fill the existing gap in literature on the implementation of metaheuristics in engineering applications and real-world engineering systems. It will be an important resource for engineers and decision-makers selecting and implementing metaheuristics to solve specific engineering problems.

Advances in Metaheuristics for Hard Optimization

Patrick Siarry,Zbigniew Michalewicz
Advances in Metaheuristics for Hard Optimization Book PDF

Author : Patrick Siarry,Zbigniew Michalewicz
Publisher : Springer Science & Business Media
Page : 481 pages
File Size : 53,7 Mb
Release : 2007-12-06
Category : Mathematics
ISBN : 9783540729600

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Advances in Metaheuristics for Hard Optimization by Patrick Siarry,Zbigniew Michalewicz Pdf

Many advances have recently been made in metaheuristic methods, from theory to applications. The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches

Yin, Peng-Yeng
Trends in Developing Metaheuristics Algorithms and Optimization Approaches Book PDF

Author : Yin, Peng-Yeng
Publisher : IGI Global
Page : 375 pages
File Size : 47,5 Mb
Release : 2012-10-31
Category : Computers
ISBN : 9781466621466

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Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches by Yin, Peng-Yeng Pdf

Developments in metaheuristics continue to advance computation beyond its traditional methods. With groundwork built on multidisciplinary research findings; metaheuristics, algorithms, and optimization approaches uses memory manipulations in order to take full advantage of strategic level problem solving. Trends in Developing Metaheuristics, Algorithms, and Optimization Approaches provides insight on the latest advances and analysis of technologies in metaheuristics computing. Offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization, this book aims to be a forum researchers, practitioners, and students who wish to learn and apply metaheuristic computing.

Advances in Metaheuristics Algorithms: Methods and Applications

Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisneros
Advances in Metaheuristics Algorithms Methods and Applications Book PDF

Author : Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisneros
Publisher : Springer
Page : 218 pages
File Size : 40,8 Mb
Release : 2018-04-10
Category : Technology & Engineering
ISBN : 9783319893099

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Advances in Metaheuristics Algorithms: Methods and Applications by Erik Cuevas,Daniel Zaldívar,Marco Pérez-Cisneros Pdf

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.

Search and Optimization by Metaheuristics

Ke-Lin Du,M. N. S. Swamy
Search and Optimization by Metaheuristics Book PDF

Author : Ke-Lin Du,M. N. S. Swamy
Publisher : Birkhäuser
Page : 434 pages
File Size : 41,8 Mb
Release : 2016-07-20
Category : Computers
ISBN : 9783319411927

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Search and Optimization by Metaheuristics by Ke-Lin Du,M. N. S. Swamy Pdf

This textbook provides a comprehensive introduction to nature-inspired metaheuristic methods for search and optimization, including the latest trends in evolutionary algorithms and other forms of natural computing. Over 100 different types of these methods are discussed in detail. The authors emphasize non-standard optimization problems and utilize a natural approach to the topic, moving from basic notions to more complex ones. An introductory chapter covers the necessary biological and mathematical backgrounds for understanding the main material. Subsequent chapters then explore almost all of the major metaheuristics for search and optimization created based on natural phenomena, including simulated annealing, recurrent neural networks, genetic algorithms and genetic programming, differential evolution, memetic algorithms, particle swarm optimization, artificial immune systems, ant colony optimization, tabu search and scatter search, bee and bacteria foraging algorithms, harmony search, biomolecular computing, quantum computing, and many others. General topics on dynamic, multimodal, constrained, and multiobjective optimizations are also described. Each chapter includes detailed flowcharts that illustrate specific algorithms and exercises that reinforce important topics. Introduced in the appendix are some benchmarks for the evaluation of metaheuristics. Search and Optimization by Metaheuristics is intended primarily as a textbook for graduate and advanced undergraduate students specializing in engineering and computer science. It will also serve as a valuable resource for scientists and researchers working in these areas, as well as those who are interested in search and optimization methods.