Hybrid Genetic Optimization For Ic Chips Thermal Control PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Hybrid Genetic Optimization For Ic Chips Thermal Control PDF full book. Access full book title Hybrid Genetic Optimization For Ic Chips Thermal Control.

Hybrid Genetic Optimization for IC Chips Thermal Control

Hybrid Genetic Optimization for IC Chips Thermal Control
Author: Mathew V. K.
Publisher: CRC Press
Total Pages: 175
Release: 2022-06-07
Genre: Computers
ISBN: 1000590399
GET BOOK

Download Hybrid Genetic Optimization for IC Chips Thermal Control Book in PDF, ePub and Kindle

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

Hybrid Genetic Optimization for IC Chips Thermal Control

Hybrid Genetic Optimization for IC Chips Thermal Control
Author: Mathew Karvinkoppa
Publisher: Advances in Metaheuristics
Total Pages: 136
Release: 2022-05-19
Genre:
ISBN: 9781032033532
GET BOOK

Download Hybrid Genetic Optimization for IC Chips Thermal Control Book in PDF, ePub and Kindle

Hybrid Genetic Optimization for IC Chip Thermal Control: with MATLAB(R) applications focuses on the detailed optimization strategy carried out to enhance the performance (temperature control) of the IC chips oriented at different positions on an SMPS board (Switch mode power supply) and cooled using air under various heat transfer modes.

Hybrid Genetic Optimization for IC Chips Thermal Control

Hybrid Genetic Optimization for IC Chips Thermal Control
Author: Mathew V. K.
Publisher: CRC Press
Total Pages: 162
Release: 2022-06-07
Genre: Computers
ISBN: 1000590437
GET BOOK

Download Hybrid Genetic Optimization for IC Chips Thermal Control Book in PDF, ePub and Kindle

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

Thermal Management for Batteries

Thermal Management for Batteries
Author: Hafiz Muhammad Ali
Publisher: Elsevier
Total Pages: 526
Release: 2024-03-15
Genre: Science
ISBN: 0443190267
GET BOOK

Download Thermal Management for Batteries Book in PDF, ePub and Kindle

Thermal Management of Batteries presents a comprehensive examination of the various conventional and emerging technologies used for thermal management of batteries and electronics. With an emphasis on advanced nanofluids, the book provides step-by-step guidance on advanced techniques at the component and system level for both active and passive technologyStarting with an overview of the fundamentals, each chapter quickly builds into a comprehensive treatment of up-to-date technologies. The first part of the book discusses advanced battery technologies, while the second part addresses the design and performance optimization of battery thermal management systems. Power density and fast charging mechanisms of batteries are considered, as are role of thermal management systems on performance enhancement. The book discusses the design selection of various thermal management systems, parameters selection for different configurations, the operating conditions for different battery types, the setups used for experimentation and instrumentation, and the operation of thermal management systems. Advanced techniques such as heat pipes, phase change materials, nanofluids, novel heat sinks, and two phase flow loops are examined in detail.Presenting the fundamentals through to the latest developments alongside step-by-step guidance, mathematical models, schematic diagrams, and experimental data, Thermal Management of Batteries is an invaluable and comprehensive reference for graduates, researchers, and practicing engineers working in the field of battery thermal management, and offers valuable solutions to key thermal management problems that will be of interest to anyone working on energy and thermal heat systems. Critically examines the components of batteries systems and their thermal energy generation Analyzes system scale integration of battery components with optimization and better design impact Explores the modeling aspects and applications of nanofluid technology and PCMs, as well as the utilization of machine learning techniques Provides step-by-step guidance on techniques in each chapter that are supported by mathematical models, schematic diagrams, and experimental data

Constraint Handling in Metaheuristics and Applications

Constraint Handling in Metaheuristics and Applications
Author: Anand J. Kulkarni
Publisher: Springer Nature
Total Pages: 315
Release: 2021-04-12
Genre: Computers
ISBN: 9813367105
GET BOOK

Download Constraint Handling in Metaheuristics and Applications Book in PDF, ePub and Kindle

This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further development of generalized constraint handling techniques. These techniques may be incorporated in suitable metaheuristics providing a solid optimized solution to the problems and applications being addressed. The book comprises original contributions with an aim to develop and discuss generalized constraint handling approaches/techniques for the metaheuristics and/or the applications being addressed. A variety of novel as well as modified and hybridized techniques have been discussed in the book. The conceptual as well as the mathematical level in all the chapters is well within the grasp of the scientists as well as the undergraduate and graduate students from the engineering and computer science streams. The reader is encouraged to have basic knowledge of probability and mathematical analysis and optimization. The book also provides critical review of the contemporary constraint handling approaches. The contributions of the book may further help to explore new avenues leading towards multidisciplinary research discussions. This book is a complete reference for engineers, scientists, and students studying/working in the optimization, artificial intelligence (AI), or computational intelligence arena.

Algorithms for VLSI Physical Design Automation

Algorithms for VLSI Physical Design Automation
Author: Naveed A. Sherwani
Publisher: Springer Science & Business Media
Total Pages: 554
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1461523516
GET BOOK

Download Algorithms for VLSI Physical Design Automation Book in PDF, ePub and Kindle

Algorithms for VLSI Physical Design Automation, Second Edition is a core reference text for graduate students and CAD professionals. Based on the very successful First Edition, it provides a comprehensive treatment of the principles and algorithms of VLSI physical design, presenting the concepts and algorithms in an intuitive manner. Each chapter contains 3-4 algorithms that are discussed in detail. Additional algorithms are presented in a somewhat shorter format. References to advanced algorithms are presented at the end of each chapter. Algorithms for VLSI Physical Design Automation covers all aspects of physical design. In 1992, when the First Edition was published, the largest available microprocessor had one million transistors and was fabricated using three metal layers. Now we process with six metal layers, fabricating 15 million transistors on a chip. Designs are moving to the 500-700 MHz frequency goal. These stunning developments have significantly altered the VLSI field: over-the-cell routing and early floorplanning have come to occupy a central place in the physical design flow. This Second Edition introduces a realistic picture to the reader, exposing the concerns facing the VLSI industry, while maintaining the theoretical flavor of the First Edition. New material has been added to all chapters, new sections have been added to most chapters, and a few chapters have been completely rewritten. The textual material is supplemented and clarified by many helpful figures. Audience: An invaluable reference for professionals in layout, design automation and physical design.

Constraint Handling in Cohort Intelligence Algorithm

Constraint Handling in Cohort Intelligence Algorithm
Author: Ishaan R. Kale
Publisher: CRC Press
Total Pages: 206
Release: 2021-12-27
Genre: Business & Economics
ISBN: 100052048X
GET BOOK

Download Constraint Handling in Cohort Intelligence Algorithm Book in PDF, ePub and Kindle

Mechanical Engineering domain problems are generally complex, consisting of different design variables and constraints. These problems may not be solved using gradient-based optimization techniques. The stochastic nature-inspired optimization techniques have been proposed in this book to efficiently handle the complex problems. The nature-inspired algorithms are classified as bio-inspired, swarm, and physics/chemical-based algorithms. Socio-inspired is one of the subdomains of bio-inspired algorithms, and Cohort Intelligence (CI) models the social tendencies of learning candidates with an inherent goal to achieve the best possible position. In this book, CI is investigated by solving ten discrete variable truss structural problems, eleven mixed variable design engineering problems, seventeen linear and nonlinear constrained test problems and two real-world applications from manufacturing domain. Static Penalty Function (SPF) is also adopted to handle the linear and nonlinear constraints, and limitations in CI and SPF approaches are examined. Constraint Handling in Cohort Intelligence Algorithm is a valuable reference to practitioners working in the industry as well as to students and researchers in the area of optimization methods.

Design Automation of Cyber-Physical Systems

Design Automation of Cyber-Physical Systems
Author: Mohammad Abdullah Al Faruque
Publisher: Springer
Total Pages: 288
Release: 2019-05-09
Genre: Technology & Engineering
ISBN: 3030130509
GET BOOK

Download Design Automation of Cyber-Physical Systems Book in PDF, ePub and Kindle

This book presents the state-of-the-art and breakthrough innovations in design automation for cyber-physical systems.The authors discuss various aspects of cyber-physical systems design, including modeling, co-design, optimization, tools, formal methods, validation, verification, and case studies. Coverage includes a survey of the various existing cyber-physical systems functional design methodologies and related tools will provide the reader unique insights into the conceptual design of cyber-physical systems.

Intelligent Control Systems Using Soft Computing Methodologies

Intelligent Control Systems Using Soft Computing Methodologies
Author: Ali Zilouchian
Publisher: CRC Press
Total Pages: 504
Release: 2001-03-27
Genre: Technology & Engineering
ISBN: 1420058142
GET BOOK

Download Intelligent Control Systems Using Soft Computing Methodologies Book in PDF, ePub and Kindle

In recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more. Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes. The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology. Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.