Meta Heuristic Algorithms For Advanced Distributed Systems

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Meta-Heuristic Algorithms for Advanced Distributed Systems

Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani
Meta Heuristic Algorithms for Advanced Distributed Systems Book PDF

Author : Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani
Publisher : John Wiley & Sons
Page : 469 pages
File Size : 40,5 Mb
Release : 2024-04-02
Category : Computers
ISBN : 9781394188062

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Meta-Heuristic Algorithms for Advanced Distributed Systems by Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani Pdf

META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.

Meta-Heuristic Algorithms for Advanced Distributed Systems

Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani
Meta Heuristic Algorithms for Advanced Distributed Systems Book PDF

Author : Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani
Publisher : John Wiley & Sons
Page : 469 pages
File Size : 42,6 Mb
Release : 2024-03-12
Category : Computers
ISBN : 9781394188086

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Meta-Heuristic Algorithms for Advanced Distributed Systems by Rohit Anand,Abhinav Juneja,Digvijay Pandey,Sapna Juneja,Nidhi Sindhwani Pdf

META-HEURISTIC ALGORITHMS FOR ADVANCED DISTRIBUTED SYSTEMS Discover a collection of meta-heuristic algorithms for distributed systems in different application domains Meta-heuristic techniques are increasingly gaining favor as tools for optimizing distributed systems—generally, to enhance the utility and precision of database searches. Carefully applied, they can increase system effectiveness, streamline operations, and reduce cost. Since many of these techniques are derived from nature, they offer considerable scope for research and development, with the result that this field is growing rapidly. Meta-Heuristic Algorithms for Advanced Distributed Systems offers an overview of these techniques and their applications in various distributed systems. With strategies based on both global and local searching, it covers a wide range of key topics related to meta-heuristic algorithms. Those interested in the latest developments in distributed systems will find this book indispensable. Meta-Heuristic Algorithms for Advanced Distributed Systems readers will also find: Analysis of security issues, distributed system design, stochastic optimization techniques, and more Detailed discussion of meta-heuristic techniques such as the genetic algorithm, particle swam optimization, and many others Applications of optimized distribution systems in healthcare and other key??industries Meta-Heuristic Algorithms for Advanced Distributed Systems is ideal for academics and researchers studying distributed systems, their design, and their applications.

Advances in Distributed Systems

Sacha Krakowiak,Santosh Shrivastava
Advances in Distributed Systems Book PDF

Author : Sacha Krakowiak,Santosh Shrivastava
Publisher : Springer
Page : 516 pages
File Size : 43,5 Mb
Release : 2003-06-26
Category : Computers
ISBN : 9783540464754

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Advances in Distributed Systems by Sacha Krakowiak,Santosh Shrivastava Pdf

In 1992 we initiated a research project on large scale distributed computing systems (LSDCS). It was a collaborative project involving research institutes and universities in Bologna, Grenoble, Lausanne, Lisbon, Rennes, Rocquencourt, Newcastle, and Twente. The World Wide Web had recently been developed at CERN, but its use was not yet as common place as it is today and graphical browsers had yet to be developed. It was clear to us (and to just about everyone else) that LSDCS comprising several thousands to millions of individual computer systems (nodes) would be coming into existence as a consequence both of technological advances and the demands placed by applications. We were excited about the problems of building large distributed systems, and felt that serious rethinking of many of the existing computational paradigms, algorithms, and structuring principles for distributed computing was called for. In our research proposal, we summarized the problem domain as follows: “We expect LSDCS to exhibit great diversity of node and communications capability. Nodes will range from (mobile) laptop computers, workstations to supercomputers. Whereas mobile computers may well have unreliable, low bandwidth communications to the rest of the system, other parts of the system may well possess high bandwidth communications capability. To appreciate the problems posed by the sheer scale of a system comprising thousands of nodes, we observe that such systems will be rarely functioning in their entirety.

Metaheuristics for Scheduling in Distributed Computing Environments

Fatos Xhafa,Ajith Abraham
Metaheuristics for Scheduling in Distributed Computing Environments Book PDF

Author : Fatos Xhafa,Ajith Abraham
Publisher : Springer
Page : 364 pages
File Size : 45,7 Mb
Release : 2008-09-08
Category : Technology & Engineering
ISBN : 9783540692775

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Metaheuristics for Scheduling in Distributed Computing Environments by Fatos Xhafa,Ajith Abraham Pdf

Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 14 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.

Advanced Distributed Systems

Felix F. Ramos
Advanced Distributed Systems Book PDF

Author : Felix F. Ramos
Publisher : Springer Science & Business Media
Page : 569 pages
File Size : 51,5 Mb
Release : 2005-09-15
Category : Computers
ISBN : 9783540280637

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Advanced Distributed Systems by Felix F. Ramos Pdf

This book constitutes the thoroughly refereed post-proceedings of the Fifth International School and Symposium on Advanced Distributed Systems, ISSADS 2005, held in Guadalajara, Mexico in January 2005. The 50 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on database systems, distributed and parallel algorithms, real-time distributed systems, cooperative information systems, fault tolerance, information retrieval, modeling and simulation, wireless networks and mobile computing, artificial life and multi agent systems.

Advanced Distributed Systems

Felix F. Ramos
Advanced Distributed Systems Book PDF

Author : Felix F. Ramos
Publisher : Springer Science & Business Media
Page : 580 pages
File Size : 49,9 Mb
Release : 2005-09-15
Category : Computers
ISBN : 3540280634

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Advanced Distributed Systems by Felix F. Ramos Pdf

This book constitutes the thoroughly refereed post-proceedings of the Fifth International School and Symposium on Advanced Distributed Systems, ISSADS 2005, held in Guadalajara, Mexico in January 2005. The 50 revised full papers presented were carefully reviewed and selected from over 100 submissions. The papers are organized in topical sections on database systems, distributed and parallel algorithms, real-time distributed systems, cooperative information systems, fault tolerance, information retrieval, modeling and simulation, wireless networks and mobile computing, artificial life and multi agent systems.

Advances in Distributed Systems

Sacha Krakowiak,Santosh Shrivastava
Advances in Distributed Systems Book PDF

Author : Sacha Krakowiak,Santosh Shrivastava
Publisher : Springer
Page : 516 pages
File Size : 54,9 Mb
Release : 2003-06-26
Category : Computers
ISBN : 3540464751

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Advances in Distributed Systems by Sacha Krakowiak,Santosh Shrivastava Pdf

In 1992 we initiated a research project on large scale distributed computing systems (LSDCS). It was a collaborative project involving research institutes and universities in Bologna, Grenoble, Lausanne, Lisbon, Rennes, Rocquencourt, Newcastle, and Twente. The World Wide Web had recently been developed at CERN, but its use was not yet as common place as it is today and graphical browsers had yet to be developed. It was clear to us (and to just about everyone else) that LSDCS comprising several thousands to millions of individual computer systems (nodes) would be coming into existence as a consequence both of technological advances and the demands placed by applications. We were excited about the problems of building large distributed systems, and felt that serious rethinking of many of the existing computational paradigms, algorithms, and structuring principles for distributed computing was called for. In our research proposal, we summarized the problem domain as follows: “We expect LSDCS to exhibit great diversity of node and communications capability. Nodes will range from (mobile) laptop computers, workstations to supercomputers. Whereas mobile computers may well have unreliable, low bandwidth communications to the rest of the system, other parts of the system may well possess high bandwidth communications capability. To appreciate the problems posed by the sheer scale of a system comprising thousands of nodes, we observe that such systems will be rarely functioning in their entirety.

Advanced Distributed Systems

Victor Larios,Felix F. Ramos,Herwig Unger
Advanced Distributed Systems Book PDF

Author : Victor Larios,Felix F. Ramos,Herwig Unger
Publisher : Springer Science & Business Media
Page : 292 pages
File Size : 47,6 Mb
Release : 2004-06-24
Category : Computers
ISBN : 9783540221722

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Advanced Distributed Systems by Victor Larios,Felix F. Ramos,Herwig Unger Pdf

This book constitutes the thoroughly refereed post-proceedings of the Third International School and Symposium on Advanced Distributed Systems, ISSADS 2004, held in Guadalajara, Mexico in January 2004. The 25 revised full papers presented were carefully reviewed and selected from 46 submissions. Among the topics addressed are virtual characters, distributed toolkits, serial visual presentation, multi-agent architectures, MAS, agent-object hybrid languages, robot soccer agents, distributed querying, semantic search engines, coordination, distributed collaboration, virtual communities, peer-to-peer networks, P2P systems, distributed search mobile objects, load balancing, distributed algorithms, scheduling, and distributed information systems.

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 : 48,7 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

Metaheuristic Optimization in Power Engineering

Jordan Radosavljević
Metaheuristic Optimization in Power Engineering Book PDF

Author : Jordan Radosavljević
Publisher : Unknown
Page : 517 pages
File Size : 42,7 Mb
Release : 2018
Category : Energy industries
ISBN : 1523117184

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Metaheuristic Optimization in Power Engineering by Jordan Radosavljević Pdf

This book describes the principles of solving various problems in power engineering via the application of selected metaheuristic optimization methods including genetic algorithms, particle swarm optimization, and the gravitational search algorithm.

Nature-Inspired Optimization Algorithms

Xin-She Yang
Nature Inspired Optimization Algorithms Book PDF

Author : Xin-She Yang
Publisher : Elsevier
Page : 300 pages
File Size : 42,6 Mb
Release : 2014-02-17
Category : Computers
ISBN : 9780124167452

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Nature-Inspired Optimization Algorithms by Xin-She Yang Pdf

Nature-Inspired Optimization Algorithms provides a systematic 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 well-chosen 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, as well as multi-objective optimization. This book can serve as an introductory book for graduates, doctoral students and lecturers in computer science, engineering and natural sciences. It can also serve a source of inspiration for new applications. Researchers and engineers as well as experienced experts will also find it a handy reference. Discusses and summarizes the latest developments in nature-inspired algorithms with comprehensive, timely literature Provides a theoretical understanding as well as practical implementation hints Provides a step-by-step introduction to each algorithm

Distributed Algorithms

Nancy A. Lynch
Distributed Algorithms Book PDF

Author : Nancy A. Lynch
Publisher : Elsevier
Page : 904 pages
File Size : 53,6 Mb
Release : 1996-04-16
Category : Computers
ISBN : 0080504701

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Distributed Algorithms by Nancy A. Lynch Pdf

In Distributed Algorithms, Nancy Lynch provides a blueprint for designing, implementing, and analyzing distributed algorithms. She directs her book at a wide audience, including students, programmers, system designers, and researchers. Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting. The algorithms are proved correct, and their complexity is analyzed according to precisely defined complexity measures. The problems covered include resource allocation, communication, consensus among distributed processes, data consistency, deadlock detection, leader election, global snapshots, and many others. The material is organized according to the system model—first by the timing model and then by the interprocess communication mechanism. The material on system models is isolated in separate chapters for easy reference. The presentation is completely rigorous, yet is intuitive enough for immediate comprehension. This book familiarizes readers with important problems, algorithms, and impossibility results in the area: readers can then recognize the problems when they arise in practice, apply the algorithms to solve them, and use the impossibility results to determine whether problems are unsolvable. The book also provides readers with the basic mathematical tools for designing new algorithms and proving new impossibility results. In addition, it teaches readers how to reason carefully about distributed algorithms—to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures.

Distributed Search by Constrained Agents

Amnon Meisels
Distributed Search by Constrained Agents Book PDF

Author : Amnon Meisels
Publisher : Springer Science & Business Media
Page : 216 pages
File Size : 40,8 Mb
Release : 2007-12-20
Category : Computers
ISBN : 9781848000407

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Distributed Search by Constrained Agents by Amnon Meisels Pdf

The well defined model of distributed constraints satisfaction and optimization (DisCSPs/DisCOPs) can serve as the basis for the design and investigation of distributed search algorithms, of protocols and of negotiations and search. This book presents a comprehensive discussion on the field of distributed constraints, its algorithms and its active research areas. The book introduces distributed constraint satisfaction and optimization problems and describes the underlying model.

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 : 300 pages
File Size : 48,7 Mb
Release : 2021-09-28
Category : Computers
ISBN : 9781000435948

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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 Intelligent Computing and Optimization for Sustainable Development

Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
Handbook of Intelligent Computing and Optimization for Sustainable Development Book PDF

Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
Publisher : John Wiley & Sons
Page : 944 pages
File Size : 42,7 Mb
Release : 2022-02-11
Category : Technology & Engineering
ISBN : 9781119792628

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Handbook of Intelligent Computing and Optimization for Sustainable Development by Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant Pdf

HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization is a very well-known area with a vast number of applications, from route finding problems to medical treatment, construction, finance, accounting, engineering, and maintenance schedules in plants. As far as optimization of real-world problems is concerned, understanding the nature of the problem and grouping it in a proper class may help the designer employ proper techniques which can solve the problem efficiently. Many intelligent optimization techniques can find optimal solutions without the use of objective function and are less prone to local conditions. The 41 chapters comprising the Handbook of Intelligent Computing and Optimization for Sustainable Development by subject specialists, represent diverse disciplines such as mathematics and computer science, electrical and electronics engineering, neuroscience and cognitive sciences, medicine, and social sciences, and provide the reader with an integrated understanding of the importance that intelligent computing has in the sustainable development of current societies. It discusses the emerging research exploring the theoretical and practical aspects of successfully implementing new and innovative intelligent techniques in a variety of sectors, including IoT, manufacturing, optimization, and healthcare. Audience It is a pivotal reference source for IT specialists, industry professionals, managers, executives, researchers, scientists, and engineers seeking current research in emerging perspectives in the field of artificial intelligence in the areas of Internet of Things, renewable energy, optimization, and smart cities.