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Data-Driven Evolutionary Optimization

2021-06-28 Computers
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Release : 2021-06-28
Genre : Computers
Kind : eBook
Book Rating : 402/5 ( reviews)

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Book Synopsis Data-Driven Evolutionary Optimization by : Yaochu Jin

Download or read book Data-Driven Evolutionary Optimization written by Yaochu Jin. This book was released on 2021-06-28. Available in PDF, EPUB and Kindle. Book excerpt: Intended for researchers and practitioners alike, this book covers carefully selected yet broad topics in optimization, machine learning, and metaheuristics. Written by world-leading academic researchers who are extremely experienced in industrial applications, this self-contained book is the first of its kind that provides comprehensive background knowledge, particularly practical guidelines, and state-of-the-art techniques. New algorithms are carefully explained, further elaborated with pseudocode or flowcharts, and full working source code is made freely available. This is followed by a presentation of a variety of data-driven single- and multi-objective optimization algorithms that seamlessly integrate modern machine learning such as deep learning and transfer learning with evolutionary and swarm optimization algorithms. Applications of data-driven optimization ranging from aerodynamic design, optimization of industrial processes, to deep neural architecture search are included.

Data-Driven Evolutionary Modeling in Materials Technology

2022-09-15 Technology & Engineering
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Release : 2022-09-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 864/5 ( reviews)

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Book Synopsis Data-Driven Evolutionary Modeling in Materials Technology by : Nirupam Chakraborti

Download or read book Data-Driven Evolutionary Modeling in Materials Technology written by Nirupam Chakraborti. This book was released on 2022-09-15. Available in PDF, EPUB and Kindle. Book excerpt: Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. Features: Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning. Include details on both algorithms and their applications in materials science and technology. Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies. Thoroughly discusses applications of pertinent strategies in metallurgy and materials. Provides overview of the major single and multi-objective evolutionary algorithms. This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.

Computational Sciences and Artificial Intelligence in Industry

2021-08-19 Technology & Engineering
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Release : 2021-08-19
Genre : Technology & Engineering
Kind : eBook
Book Rating : 873/5 ( reviews)

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Book Synopsis Computational Sciences and Artificial Intelligence in Industry by : Tero Tuovinen

Download or read book Computational Sciences and Artificial Intelligence in Industry written by Tero Tuovinen. This book was released on 2021-08-19. Available in PDF, EPUB and Kindle. Book excerpt: This book is addressed to young researchers and engineers in the fields of Computational Science and Artificial Intelligence, ranging from innovative computational methods to digital machine learning tools and their coupling used for solving challenging industrial and societal problems.This book provides the latest knowledge from jointly academic and industries experts in Computational Science and Artificial Intelligence fields for exploring possibilities and identifying challenges of applying Computational Sciences and AI methods and tools in industrial and societal sectors.

Data-Driven Evolutionary Modeling in Materials Technology

2022-09-15 Technology & Engineering
Download Data-Driven Evolutionary Modeling in Materials Technology PDF Online Free

Author :
Release : 2022-09-15
Genre : Technology & Engineering
Kind : eBook
Book Rating : 821/5 ( reviews)

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Book Synopsis Data-Driven Evolutionary Modeling in Materials Technology by : Nirupam Chakraborti

Download or read book Data-Driven Evolutionary Modeling in Materials Technology written by Nirupam Chakraborti. This book was released on 2022-09-15. Available in PDF, EPUB and Kindle. Book excerpt: Due to efficacy and optimization potential of genetic and evolutionary algorithms, they are used in learning and modeling especially with the advent of big data related problems. This book presents the algorithms and strategies specifically associated with pertinent issues in materials science domain. It discusses the procedures for evolutionary multi-objective optimization of objective functions created through these procedures and introduces available codes. Recent applications ranging from primary metal production to materials design are covered. It also describes hybrid modeling strategy, and other common modeling and simulation strategies like molecular dynamics, cellular automata etc. Features: Focuses on data-driven evolutionary modeling and optimization, including evolutionary deep learning. Include details on both algorithms and their applications in materials science and technology. Discusses hybrid data-driven modeling that couples evolutionary algorithms with generic computing strategies. Thoroughly discusses applications of pertinent strategies in metallurgy and materials. Provides overview of the major single and multi-objective evolutionary algorithms. This book aims at Researchers, Professionals, and Graduate students in Materials Science, Data-Driven Engineering, Metallurgical Engineering, Computational Materials Science, Structural Materials, and Functional Materials.

Differential Evolution

2006-03-04 Mathematics
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Release : 2006-03-04
Genre : Mathematics
Kind : eBook
Book Rating : 060/5 ( reviews)

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Book Synopsis Differential Evolution by : Kenneth Price

Download or read book Differential Evolution written by Kenneth Price. This book was released on 2006-03-04. Available in PDF, EPUB and Kindle. Book excerpt: Problems demanding globally optimal solutions are ubiquitous, yet many are intractable when they involve constrained functions having many local optima and interacting, mixed-type variables. The differential evolution (DE) algorithm is a practical approach to global numerical optimization which is easy to understand, simple to implement, reliable, and fast. Packed with illustrations, computer code, new insights, and practical advice, this volume explores DE in both principle and practice. It is a valuable resource for professionals needing a proven optimizer and for students wanting an evolutionary perspective on global numerical optimization.

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