Goal Programming Based Multi Objective Optimization Techniques Of Task Allocation In Distributed Environment

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Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment

Author : Abhishek Bhattacharya
Publisher : Lulu.com
ISBN 13 : 1304807673
Total Pages : 70 pages
Book Rating : 4.3/5 (48 download)

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Book Synopsis Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment by : Abhishek Bhattacharya

Download or read book Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment written by Abhishek Bhattacharya and published by Lulu.com. This book was released on 2014-01-15 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a distributed computing system (DCS), we need to allocate a number of tasks to different processors for execution. The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations and to accomplish various objectives, such as throughput maximization, reliability maximization, and cost minimization. There are also exists a set of system constraints related to memory and communication link capacity. Most of the existing approaches for task allocation deal with a single objective only. In this project we construct the task allocation problem as a multi-objective optimization problem to consider system constraints. The goal programming technique is used with pre-emptive priority structure to find the optimal allocation that not only optimize system reliability but also optimize memory as well as path load. The genetic algorithm is used to find the optimal allocations. Genetic algorithm is used to find the optimal allocations.

Adaptive and Natural Computing Algorithms

Author : Marco Tomassini
Publisher : Springer
ISBN 13 : 3642372139
Total Pages : 518 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Adaptive and Natural Computing Algorithms by : Marco Tomassini

Download or read book Adaptive and Natural Computing Algorithms written by Marco Tomassini and published by Springer. This book was released on 2013-04-12 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book constitutes the refereed proceedings of the 11th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2013, held in Lausanne, Switzerland, in April 2013. The 51 revised full papers presented were carefully reviewed and selected from a total of 91 submissions. The papers are organized in topical sections on neural networks, evolutionary computation, soft computing, bioinformatics and computational biology, advanced computing, and applications.

Neutrosophic fuzzy goal programming approach in selective maintenance allocation of system reliability

Author : Murshid Kamal
Publisher : Infinite Study
ISBN 13 :
Total Pages : 16 pages
Book Rating : 4./5 ( download)

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Book Synopsis Neutrosophic fuzzy goal programming approach in selective maintenance allocation of system reliability by : Murshid Kamal

Download or read book Neutrosophic fuzzy goal programming approach in selective maintenance allocation of system reliability written by Murshid Kamal and published by Infinite Study. This book was released on with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selective maintenance problem plays an essential role in reliability optimization decision-making problems. Systems are a configuration of several components, and there are situations the system needs small intervals or break for maintenance actions, during the intervals expert carried out the maintenance actions to replace or repair the deteriorated components of the systems. Because of the uncertainty associated with the component’s operational time, failure, and next mission duration create a new challenge in determining optimal components allocation and evaluating future missions successfully. In this paper, a multi-objective selective maintenance allocation problem is formulated with fuzzy parameters under neutrosophic environment. A new defuzzification technique is introduced based on beta distribution to convert fuzzy parameters into crisp values. The neutrosophic goal programming technique is used to determine the compromise allocation of replaceable and repairable components based on the system reliability optimization. A numerical illustration is used to validate the model and ascertain its effectiveness. The result is compared with two other approaches and found to be better. The method is flexible and straightforward and can be solved using any available commercial packages. The extension of the concept can be useful to other complex system reliability optimization.

Evolutionary Based Solutions for Green Computing

Author : Samee Ullah Khan
Publisher : Springer
ISBN 13 : 3642306594
Total Pages : 268 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Evolutionary Based Solutions for Green Computing by : Samee Ullah Khan

Download or read book Evolutionary Based Solutions for Green Computing written by Samee Ullah Khan and published by Springer. This book was released on 2012-08-14 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today’s highly parameterized large-scale distributed computing systems may be composed of a large number of various components (computers, databases, etc) and must provide a wide range of services. The users of such systems, located at different (geographical or managerial) network cluster may have a limited access to the system’s services and resources, and different, often conflicting, expectations and requirements. Moreover, the information and data processed in such dynamic environments may be incomplete, imprecise, fragmentary, and overloading. All of the above mentioned issues require some intelligent scalable methodologies for the management of the whole complex structure, which unfortunately may increase the energy consumption of such systems. An optimal energy utilization has reached to a point that many information technology (IT) managers and corporate executives are all up in arms to identify scalable solution that can reduce electricity consumption (so that the total cost of operation is minimized) of their respective large-scale computing systems and simultaneously improve upon or maintain the current throughput of the system. This book in its eight chapters, addresses the fundamental issues related to the energy usage and the optimal low-cost system design in high performance ``green computing’’ systems. The recent evolutionary and general metaheuristic-based solutions for energy optimization in data processing, scheduling, resource allocation, and communication in modern computational grids, could and network computing are presented along with several important conventional technologies to cover the hot topics from the fundamental theory of the ‘’green computing’’ concept and to describe the basic architectures of systems. This book points out the potential application areas and provides detailed examples of application case studies in low-energy computational systems. The development trends and open research issues are also outlined. All of those technologies have formed the foundation for the green computing that we know of today.

Supply Chain Optimization, Management and Integration: Emerging Applications

Author : Wang, John
Publisher : IGI Global
ISBN 13 : 1609601378
Total Pages : 418 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Supply Chain Optimization, Management and Integration: Emerging Applications by : Wang, John

Download or read book Supply Chain Optimization, Management and Integration: Emerging Applications written by Wang, John and published by IGI Global. This book was released on 2010-11-30 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our rapidly changing world has forced business practitioners, in corporation with academic researchers, to respond quickly and develop effective solution methodologies and techniques to handle new challenges in supply chain systems. Supply Chain Optimization, Management and Integration: Emerging Applications presents readers with a rich collection of ideas from researchers who are bridging the gap between the latest in information technology and supply chain management. This book includes theoretical, analytical, and empirical research, comprehensive reviews of relevant research, and case studies of effective applications in the field of SCM. The use of new technologies, methods, and techniques are emphasized by those who have worked with supply chain management across the world for those in the field of information systems.

Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain

Author : Nag, Barin
Publisher : IGI Global
ISBN 13 : 161520606X
Total Pages : 385 pages
Book Rating : 4.6/5 (152 download)

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Book Synopsis Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain by : Nag, Barin

Download or read book Intelligent Systems in Operations: Methods, Models and Applications in the Supply Chain written by Nag, Barin and published by IGI Global. This book was released on 2010-03-31 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides knowledge and insights on present and future AI applications in Operations Management presenting tools and decisions in terms of theoretical and empirical models, methods and proposed applications"--Provided by publisher.

Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Author : Millie Pant
Publisher : Springer
ISBN 13 : 981100448X
Total Pages : 1030 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Proceedings of Fifth International Conference on Soft Computing for Problem Solving by : Millie Pant

Download or read book Proceedings of Fifth International Conference on Soft Computing for Problem Solving written by Millie Pant and published by Springer. This book was released on 2016-03-19 with total page 1030 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings of SocProS 2015 will serve as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of ‘Soft Computing’. The book will be beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Health Care, Networking Optimization Problems, etc.

Optimization for Decision Making II

Author : Víctor Yepes
Publisher : MDPI
ISBN 13 : 3039436074
Total Pages : 300 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Optimization for Decision Making II by : Víctor Yepes

Download or read book Optimization for Decision Making II written by Víctor Yepes and published by MDPI. This book was released on 2020-11-25 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the current context of the electronic governance of society, both administrations and citizens are demanding the greater participation of all the actors involved in the decision-making process relative to the governance of society. This book presents collective works published in the recent Special Issue (SI) entitled “Optimization for Decision Making II”. These works give an appropriate response to the new challenges raised, the decision-making process can be done by applying different methods and tools, as well as using different objectives. In real-life problems, the formulation of decision-making problems and the application of optimization techniques to support decisions are particularly complex and a wide range of optimization techniques and methodologies are used to minimize risks, improve quality in making decisions or, in general, to solve problems. In addition, a sensitivity or robustness analysis should be done to validate/analyze the influence of uncertainty regarding decision-making. This book brings together a collection of inter-/multi-disciplinary works applied to the optimization of decision making in a coherent manner.

Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023)

Author : Yi Qu
Publisher : Springer Nature
ISBN 13 : 9819710839
Total Pages : 589 pages
Book Rating : 4.8/5 (197 download)

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Book Synopsis Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) by : Yi Qu

Download or read book Proceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) written by Yi Qu and published by Springer Nature. This book was released on with total page 589 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Service Science

Author : Zhongjie Wang
Publisher : Springer Nature
ISBN 13 : 9819944023
Total Pages : 523 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Service Science by : Zhongjie Wang

Download or read book Service Science written by Zhongjie Wang and published by Springer Nature. This book was released on 2023-07-26 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers presented at the 16th International Conference on Service Science, ICSS 2023, held in Harbin, China, in May 2023. The 36 full papers and 2 short papers presented were thoroughly reviewed and selected from the 71 submissions. They are organized in the following topical sections: serverless edge computing; edge services reliability; intelligent services; service application; knowledge-inspired service; service ecosystem; graph-based service optimization; AI-inspired service optimization.

Multi-objective Optimization for Bridge Management Systems

Author : National Cooperative Highway Research Program
Publisher : Transportation Research Board
ISBN 13 : 030909898X
Total Pages : 139 pages
Book Rating : 4.3/5 (9 download)

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Book Synopsis Multi-objective Optimization for Bridge Management Systems by : National Cooperative Highway Research Program

Download or read book Multi-objective Optimization for Bridge Management Systems written by National Cooperative Highway Research Program and published by Transportation Research Board. This book was released on 2007 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accompanying CD-ROM contains ... "[u]sers manual and software for NCHRP Report 590: Multi-objective optimization for bridge management systems."--CD-ROM label.

Parallel and Distributed Computing, Applications and Technologies

Author : Ji Su Park
Publisher : Springer Nature
ISBN 13 : 9819982111
Total Pages : 325 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Parallel and Distributed Computing, Applications and Technologies by : Ji Su Park

Download or read book Parallel and Distributed Computing, Applications and Technologies written by Ji Su Park and published by Springer Nature. This book was released on 2023-11-28 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) which was held in Jeju, Korea in August, 2023. The papers of this volume are organized in topical sections on wired and wireless communication systems, high dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, electronic circuits for communication systems.

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

Author : Arpit Jain
Publisher : CRC Press
ISBN 13 : 1000934004
Total Pages : 160 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by : Arpit Jain

Download or read book Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things written by Arpit Jain and published by CRC Press. This book was released on 2023-09-15 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

Efficient Learning Machines

Author : Mariette Awad
Publisher : Apress
ISBN 13 : 1430259906
Total Pages : 263 pages
Book Rating : 4.4/5 (32 download)

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Book Synopsis Efficient Learning Machines by : Mariette Awad

Download or read book Efficient Learning Machines written by Mariette Awad and published by Apress. This book was released on 2015-04-27 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions. Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms. Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning.

Multi-Objective Optimization using Artificial Intelligence Techniques

Author : Seyedali Mirjalili
Publisher : Springer
ISBN 13 : 3030248356
Total Pages : 66 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Multi-Objective Optimization using Artificial Intelligence Techniques by : Seyedali Mirjalili

Download or read book Multi-Objective Optimization using Artificial Intelligence Techniques written by Seyedali Mirjalili and published by Springer. This book was released on 2019-07-24 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them. It then presents an in-depth explanations of the theory, literature review, and applications of several widely-used algorithms, such as Multi-objective Particle Swarm Optimizer, Multi-Objective Genetic Algorithm and Multi-objective GreyWolf Optimizer Due to the simplicity of the techniques and flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for all the proposed algorithms on a dedicated webpage.

Entropy Applications in Environmental and Water Engineering

Author : Huijuan Cui
Publisher : MDPI
ISBN 13 : 3038972223
Total Pages : 512 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Entropy Applications in Environmental and Water Engineering by : Huijuan Cui

Download or read book Entropy Applications in Environmental and Water Engineering written by Huijuan Cui and published by MDPI. This book was released on 2019-03-07 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entropy theory has wide applications to a range of problems in the fields of environmental and water engineering, including river hydraulic geometry, fluvial hydraulics, water monitoring network design, river flow forecasting, floods and droughts, river network analysis, infiltration, soil moisture, sediment transport, surface water and groundwater quality modeling, ecosystems modeling, water distribution networks, environmental and water resources management, and parameter estimation. Such applications have used several different entropy formulations, such as Shannon, Tsallis, Rényi, Burg, Kolmogorov, Kapur, configurational, and relative entropies, which can be derived in time, space, or frequency domains. More recently, entropy-based concepts have been coupled with other theories, including copula and wavelets, to study various issues associated with environmental and water resources systems. Recent studies indicate the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering, including establishing and explaining physical connections between theory and reality. The objective of this Special Issue is to provide a platform for compiling important recent and current research on the applications of entropy theory in environmental and water engineering. The contributions to this Special Issue have addressed many aspects associated with entropy theory applications and have shown the enormous scope and potential of entropy theory in advancing research in the fields of environmental and water engineering.

Advances on Mathematical Modeling and Optimization with Its Applications

Author : Gunjan Mukherjee
Publisher : CRC Press
ISBN 13 : 1040001343
Total Pages : 279 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Advances on Mathematical Modeling and Optimization with Its Applications by : Gunjan Mukherjee

Download or read book Advances on Mathematical Modeling and Optimization with Its Applications written by Gunjan Mukherjee and published by CRC Press. This book was released on 2024-03-28 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances on Mathematical Modeling and Optimization with Its Applications discusses optimization, equality, and inequality constraints and their application in the versatile optimizing domain. It further covers non-linear optimization methods such as global optimization, and gradient-based non-linear optimization, and their applications. Discusses important topics including multi-component differential equations, geometric partial differential equations, and computational neural systems Covers linear integer programming and network design problems, along with an application of the mixed integer problems Discusses constrained and unconstrained optimization, equality, and inequality constraints, and their application in the versatile optimizing domain Elucidates the application of statistical models, probability models, and transfer learning concepts Showcases the importance of multi-attribute decision modeling in the domain of image processing and soft computing The text is primarily for senior undergraduate and graduate students, and academic researchers in the fields of mathematics, statistics, and computer science.