Multi Objective Optimization Techniques (81 results)

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Condition: New. KlappentextrnrnIn 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 vari.

Buch. Condition: Neu. Neuware - 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.…

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.…

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Taschenbuch. Condition: Neu. Multi-Objective Optimization using Artificial Intelligence Techniques | Seyedali Mirjalili (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xi | Englisch | 2019 | Springer | EAN 9783030248345 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

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Taschenbuch. Condition: Neu. Neuware - The book establishes how to design, develop, and test different hybrids of multi-objective optimization algorithms. It presents several application areas of multi-objective optimization algorithms. - Presents a thorough analysis of equations, mathematical models, and mechanisms of multi-objective optimization algorithms. - Explores different alternatives of multi-objective optimization algorithms to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems. - Illustrates how to design, develop, and test different hybrids of multi-objective optimization algorithms. - Discusses multi-objective optimization techniques for cloud, fog, and edge computing. - Highlights applications of multi-objective optimization in diverse sectors such as engineering, e-healthcare, and scheduling. The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, communications engineering, computer science and engineering, and mathematics.…

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Condition: gut. Multi-Objective Optimization using Artificial Intelligence Techniques (SpringerBriefs in Applied Sciences and Technology) In deutscher Sprache. pages.

Hardcover. Condition: new. Hardcover. This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. This book presents a comprehensive, hands-on guide for engineers, researchers, and students seeking to harness the power of optimization in diverse, real-world scenarios.Through expertly crafted chapters, this book illuminates the strengths of state-of-the-art metaheuristic algorithmssuch as the Harris hawk optimization, whale optimization, gray wolf optimization, sunflower optimization, imperialistic competitive optimization, jaya optimization, thermal exchange optimization, grasshopper optimization, and cuckoo search optimization. These algorithms tackle complex, high-dimensional challenges, giving readers invaluable tools to boost performance and efficiency. Case studies breathe life into these methods, showcasing their adaptability in systems with multiple conflicting objectives.Readers will find practical MATLAB and GAMS models, enabling immediate experimentation and application. In an era where efficiency and sustainability are paramount, this book equips engineers to solve todays toughest optimization problems, making it an indispensable resource for those committed to innovation. Whether focused on energy systems, structural design, or computational mechanics, this book serves as a trusted guide to achieving breakthrough solutions across multiple disciplines. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…