Simulated Annealing: Fundamentals and Applications

· One Billion Knowledgeable · AI 讲述者:Mason(来自 Google)
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What Is Simulated Annealing


The method of simulated annealing, often known as SA, is a probabilistic approach that can approximate the value of a function's global optimal value. To be more specific, it is a metaheuristic that allows for an approximation of global optimization in a vast search space when dealing with an optimization problem. The global optimal solution can be found using SA for large numbers of local optimal solutions. It is utilized quite frequently in situations in which the search space is discrete. Simulated annealing may be superior to exact algorithms like gradient descent and branch and bound for solving problems where obtaining an approximate global optimum is more important than finding a precise local optimum in a set amount of time. This is the case when finding an approximate global optimum is more important.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Simulated annealing


Chapter 2: Adaptive simulated annealing


Chapter 3: Automatic label placement


Chapter 4: Combinatorial optimization


Chapter 5: Dual-phase evolution


Chapter 6: Graph cuts in computer vision


Chapter 7: Molecular dynamics


Chapter 8: Multidisciplinary design optimization


Chapter 9: Particle swarm optimization


Chapter 10: Quantum annealing


(II) Answering the public top questions about simulated annealing.


(III) Real world examples for the usage of simulated annealing in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of simulated annealing' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of simulated annealing.

作者简介

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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