Enhancing Surrogate Based Optimization Through Parallelization

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Enhancing Surrogate-Based Optimization Through Parallelization

Frederik Rehbach
Enhancing Surrogate Based Optimization Through Parallelization Book PDF

Author : Frederik Rehbach
Publisher : Springer Nature
Page : 123 pages
File Size : 42,8 Mb
Release : 2023-05-29
Category : Technology & Engineering
ISBN : 9783031306099

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Enhancing Surrogate-Based Optimization Through Parallelization by Frederik Rehbach Pdf

This book presents a solution to the challenging issue of optimizing expensive-to-evaluate industrial problems such as the hyperparameter tuning of machine learning models. The approach combines two well-established concepts, Surrogate-Based Optimization (SBO) and parallelization, to efficiently search for optimal parameter setups with as few function evaluations as possible. Through in-depth analysis, the need for parallel SBO solvers is emphasized, and it is demonstrated that they outperform model-free algorithms in scenarios with a low evaluation budget. The SBO approach helps practitioners save significant amounts of time and resources in hyperparameter tuning as well as other optimization projects. As a highlight, a novel framework for objectively comparing the efficiency of parallel SBO algorithms is introduced, enabling practitioners to evaluate and select the most effective approach for their specific use case. Based on practical examples, decision support is delivered, detailing which parts of industrial optimization projects can be parallelized and how to prioritize which parts to parallelize first. By following the framework, practitioners can make informed decisions about how to allocate resources and optimize their models efficiently.

Optimization of Complex Systems: Theory, Models, Algorithms and Applications

Hoai An Le Thi,Hoai Minh Le,Tao Pham Dinh
Optimization of Complex Systems Theory Models Algorithms and Applications Book PDF

Author : Hoai An Le Thi,Hoai Minh Le,Tao Pham Dinh
Publisher : Springer
Page : 1164 pages
File Size : 52,8 Mb
Release : 2019-06-15
Category : Technology & Engineering
ISBN : 9783030218034

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Optimization of Complex Systems: Theory, Models, Algorithms and Applications by Hoai An Le Thi,Hoai Minh Le,Tao Pham Dinh Pdf

This book contains 112 papers selected from about 250 submissions to the 6th World Congress on Global Optimization (WCGO 2019) which takes place on July 8–10, 2019 at University of Lorraine, Metz, France. The book covers both theoretical and algorithmic aspects of Nonconvex Optimization, as well as its applications to modeling and solving decision problems in various domains. It is composed of 10 parts, each of them deals with either the theory and/or methods in a branch of optimization such as Continuous optimization, DC Programming and DCA, Discrete optimization & Network optimization, Multiobjective programming, Optimization under uncertainty, or models and optimization methods in a specific application area including Data science, Economics & Finance, Energy & Water management, Engineering systems, Transportation, Logistics, Resource allocation & Production management. The researchers and practitioners working in Nonconvex Optimization and several application areas can find here many inspiring ideas and useful tools & techniques for their works.

Optimization of Urban Wastewater Systems using Model Based Design and Control

Carlos Alberto Velez Quintero
Optimization of Urban Wastewater Systems using Model Based Design and Control Book PDF

Author : Carlos Alberto Velez Quintero
Publisher : CRC Press
Page : 219 pages
File Size : 50,6 Mb
Release : 2020-11-25
Category : Technology & Engineering
ISBN : 9781000159325

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Optimization of Urban Wastewater Systems using Model Based Design and Control by Carlos Alberto Velez Quintero Pdf

A considerable amount of scientific evidence has been collected leading to the conclusion that urban wastewater components should be designed as one integrated system, in order to protect the receiving waters cost-effectively. Moreover, there is a need to optimize the design and operation of the sewerage network and wastewater treatment plant (WwTP) considering the dynamic interactions between them and the receiving waters. This book introduces a method called Model Based Design and Control (MoDeCo) for the optimum design and control of urban wastewater components. The book presents a detailed description of the integration of modelling tools for the sewer, the wastewater treatment plants and the rivers. The complex modelling structure used for the integrated model challenge previous applications of integrated modelling approaches presented in scientific literature. The combination of modelling tools and multi-objective evolutionary algorithms demonstrated in this book represent an excellent tool for designers and managers of urban wastewater infrastructure. This book also presents two alternatives to solve the computing demand of the optimization of integrated systems in practical applications: the use of surrogate modelling tools and the use of cloud computer infrastructure for parallel computing.

Advances and Trends in Optimization with Engineering Applications

TamØs Terlaky,Miguel F. Anjos,Shabbir Ahmed
Advances and Trends in Optimization with Engineering Applications Book PDF

Author : TamØs Terlaky,Miguel F. Anjos,Shabbir Ahmed
Publisher : SIAM
Page : 696 pages
File Size : 50,5 Mb
Release : 2017-04-26
Category : Mathematics
ISBN : 9781611974683

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Advances and Trends in Optimization with Engineering Applications by TamØs Terlaky,Miguel F. Anjos,Shabbir Ahmed Pdf

Optimization is of critical importance in engineering. Engineers constantly strive for the best possible solutions, the most economical use of limited resources, and the greatest efficiency. As system complexity increases, these goals mandate the use of state-of-the-art optimization techniques. In recent years, the theory and methodology of optimization have seen revolutionary improvements. Moreover, the exponential growth in computational power, along with the availability of multicore computing with virtually unlimited memory and storage capacity, has fundamentally changed what engineers can do to optimize their designs. This is a two-way process: engineers benefit from developments in optimization methodology, and challenging new classes of optimization problems arise from novel engineering applications. Advances and Trends in Optimization with Engineering Applications reviews 10 major areas of optimization and related engineering applications, providing a broad summary of state-of-the-art optimization techniques most important to engineering practice. Each part provides a clear overview of a specific area and discusses a range of real-world problems. The book provides a solid foundation for engineers and mathematical optimizers alike who want to understand the importance of optimization methods to engineering and the capabilities of these methods.

Application of Surrogate-based Global Optimization to Aerodynamic Design

Emiliano Iuliano,Esther Andrés Pérez
Application of Surrogate based Global Optimization to Aerodynamic Design Book PDF

Author : Emiliano Iuliano,Esther Andrés Pérez
Publisher : Springer
Page : 72 pages
File Size : 47,6 Mb
Release : 2015-10-05
Category : Technology & Engineering
ISBN : 9783319215068

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Application of Surrogate-based Global Optimization to Aerodynamic Design by Emiliano Iuliano,Esther Andrés Pérez Pdf

Aerodynamic design, like many other engineering applications, is increasingly relying on computational power. The growing need for multi-disciplinarity and high fidelity in design optimization for industrial applications requires a huge number of repeated simulations in order to find an optimal design candidate. The main drawback is that each simulation can be computationally expensive – this becomes an even bigger issue when used within parametric studies, automated search or optimization loops, which typically may require thousands of analysis evaluations. The core issue of a design-optimization problem is the search process involved. However, when facing complex problems, the high-dimensionality of the design space and the high-multi-modality of the target functions cannot be tackled with standard techniques. In recent years, global optimization using meta-models has been widely applied to design exploration in order to rapidly investigate the design space and find sub-optimal solutions. Indeed, surrogate and reduced-order models can provide a valuable alternative at a much lower computational cost. In this context, this volume offers advanced surrogate modeling applications and optimization techniques featuring reasonable computational resources. It also discusses basic theory concepts and their application to aerodynamic design cases. It is aimed at researchers and engineers who deal with complex aerodynamic design problems on a daily basis and employ expensive simulations to solve them.

Topology Optimization and AI-based Design of Power Electronic and Electrical Devices

Hajime Igarashi
Topology Optimization and AI based Design of Power Electronic and Electrical Devices Book PDF

Author : Hajime Igarashi
Publisher : Elsevier
Page : 384 pages
File Size : 47,5 Mb
Release : 2024-02-01
Category : Technology & Engineering
ISBN : 9780323996754

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Topology Optimization and AI-based Design of Power Electronic and Electrical Devices by Hajime Igarashi Pdf

Topology Optimization and AI-based Design of Power Electronic and Electrical Devices: Principles and Methods provides an essential foundation in the emergent design methodology as it moves towards commercial development in such electrical devices as traction motors for electric motors, transformers, inductors, reactors and power electronics circuits. Opening with an introduction to electromagnetism and computational electromagnetics for optimal design, the work outlines principles and foundations in finite element methods and illustrates numerical techniques useful for finite element analysis. It summarizes the foundations of deterministic and stochastic optimization methods, including genetic algorithm, particle swarm optimization and simulated annealing, alongside representative algorithms. The work goes on to discuss parameter optimization and topology optimization of electrical devices alongside current implementations including magnetic shields, 2D and 3D models of electric motors, and wireless power transfer devices. The work concludes with a lengthy exposition of AI-based design methods, including surrogate models for optimization, deep neural networks, and automatic design methods using Monte-Carlo tree searches for electrical devices and circuits. Assists researchers and design engineers in applying emergent topology design optimization to power electronics and electrical device design, supported by step-by-step methods, heuristic derivation, and pseudocodes Proposes unique formulations of AI-based design for electrical devices using Monte Carlo tree search and other machine learning methods Is richly accompanied by detailed numerical examples and repletes with computational support materials in algorithms and explanatory formulae Includes access to pedagogical videos on topics including the evolutionary process of topology optimization, the distribution of genetic algorithms, and CMA-ES

Research Anthology on Artificial Neural Network Applications

Management Association, Information Resources
Research Anthology on Artificial Neural Network Applications Book PDF

Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1575 pages
File Size : 54,7 Mb
Release : 2021-07-16
Category : Computers
ISBN : 9781668424094

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Research Anthology on Artificial Neural Network Applications by Management Association, Information Resources Pdf

Artificial neural networks (ANNs) present many benefits in analyzing complex data in a proficient manner. As an effective and efficient problem-solving method, ANNs are incredibly useful in many different fields. From education to medicine and banking to engineering, artificial neural networks are a growing phenomenon as more realize the plethora of uses and benefits they provide. Due to their complexity, it is vital for researchers to understand ANN capabilities in various fields. The Research Anthology on Artificial Neural Network Applications covers critical topics related to artificial neural networks and their multitude of applications in a number of diverse areas including medicine, finance, operations research, business, social media, security, and more. Covering everything from the applications and uses of artificial neural networks to deep learning and non-linear problems, this book is ideal for computer scientists, IT specialists, data scientists, technologists, business owners, engineers, government agencies, researchers, academicians, and students, as well as anyone who is interested in learning more about how artificial neural networks can be used across a wide range of fields.

Learning and Intelligent Optimization

Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Sergeyev
Learning and Intelligent Optimization Book PDF

Author : Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Sergeyev
Publisher : Springer
Page : 390 pages
File Size : 42,9 Mb
Release : 2017-10-25
Category : Computers
ISBN : 9783319694047

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Learning and Intelligent Optimization by Roberto Battiti,Dmitri E. Kvasov,Yaroslav D. Sergeyev Pdf

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Learning and Intelligent Optimization, LION 11, held in Nizhny,Novgorod, Russia, in June 2017. The 20 full papers (among these one GENOPT paper) and 15 short papers presented have been carefully reviewed and selected from 73 submissions. The papers explore the advanced research developments in such interconnected fields as mathematical programming, global optimization, machine learning, and artificial intelligence. Special focus is given to advanced ideas, technologies, methods, and applications in optimization and machine learning.

Parallel Problem Solving from Nature – PPSN XVI

Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann
Parallel Problem Solving from Nature PPSN XVI Book PDF

Author : Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann
Publisher : Springer Nature
Page : 753 pages
File Size : 40,8 Mb
Release : 2020-09-02
Category : Computers
ISBN : 9783030581121

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Parallel Problem Solving from Nature – PPSN XVI by Thomas Bäck,Mike Preuss,André Deutz,Hao Wang,Carola Doerr,Michael Emmerich,Heike Trautmann Pdf

This two-volume set LNCS 12269 and LNCS 12270 constitutes the refereed proceedings of the 16th International Conference on Parallel Problem Solving from Nature, PPSN 2020, held in Leiden, The Netherlands, in September 2020. The 99 revised full papers were carefully reviewed and selected from 268 submissions. The topics cover classical subjects such as automated algorithm selection and configuration; Bayesian- and surrogate-assisted optimization; benchmarking and performance measures; combinatorial optimization; connection between nature-inspired optimization and artificial intelligence; genetic and evolutionary algorithms; genetic programming; landscape analysis; multiobjective optimization; real-world applications; reinforcement learning; and theoretical aspects of nature-inspired optimization.

Scalable Optimization via Probabilistic Modeling

Martin Pelikan,Kumara Sastry,Erick Cantú-Paz
Scalable Optimization via Probabilistic Modeling Book PDF

Author : Martin Pelikan,Kumara Sastry,Erick Cantú-Paz
Publisher : Springer
Page : 349 pages
File Size : 47,5 Mb
Release : 2007-01-12
Category : Mathematics
ISBN : 9783540349549

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Scalable Optimization via Probabilistic Modeling by Martin Pelikan,Kumara Sastry,Erick Cantú-Paz Pdf

I’m not usually a fan of edited volumes. Too often they are an incoherent hodgepodge of remnants, renegades, or rejects foisted upon an unsuspecting reading public under a misleading or fraudulent title. The volume Scalable Optimization via Probabilistic Modeling: From Algorithms to Applications is a worthy addition to your library because it succeeds on exactly those dimensions where so many edited volumes fail. For example, take the title, Scalable Optimization via Probabilistic M- eling: From Algorithms to Applications. You need not worry that you’re going to pick up this book and ?nd stray articles about anything else. This book focuseslikealaserbeamononeofthehottesttopicsinevolutionary compu- tion over the last decade or so: estimation of distribution algorithms (EDAs). EDAs borrow evolutionary computation’s population orientation and sel- tionism and throw out the genetics to give us a hybrid of substantial power, elegance, and extensibility. The article sequencing in most edited volumes is hard to understand, but from the get go the editors of this volume have assembled a set of articles sequenced in a logical fashion. The book moves from design to e?ciency enhancement and then concludes with relevant applications. The emphasis on e?ciency enhancement is particularly important, because the data-mining perspectiveimplicitinEDAsopensuptheworldofoptimizationtonewme- ods of data-guided adaptation that can further speed solutions through the construction and utilization of e?ective surrogates, hybrids, and parallel and temporal decompositions.

Handbook of Research on Emergent Applications of Optimization Algorithms

Vasant, Pandian,Alparslan-Gok, Sirma Zeynep,Weber, Gerhard-Wilhelm
Handbook of Research on Emergent Applications of Optimization Algorithms Book PDF

Author : Vasant, Pandian,Alparslan-Gok, Sirma Zeynep,Weber, Gerhard-Wilhelm
Publisher : IGI Global
Page : 812 pages
File Size : 54,9 Mb
Release : 2017-10-31
Category : Computers
ISBN : 9781522529910

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Handbook of Research on Emergent Applications of Optimization Algorithms by Vasant, Pandian,Alparslan-Gok, Sirma Zeynep,Weber, Gerhard-Wilhelm Pdf

Modern optimization approaches have attracted an increasing number of scientists, decision makers, and researchers. As new issues in this field emerge, different optimization methodologies must be developed and implemented. The Handbook of Research on Emergent Applications of Optimization Algorithms is an authoritative reference source for the latest scholarly research on modern optimization techniques for solving complex problems of global optimization and their applications in economics and engineering. Featuring coverage on a broad range of topics and perspectives such as hybrid systems, non-cooperative games, and cryptography, this publication is ideally designed for students, researchers, and engineers interested in emerging developments in optimization algorithms.

Advances in Structural and Multidisciplinary Optimization

Axel Schumacher,Thomas Vietor,Sierk Fiebig,Kai-Uwe Bletzinger,Kurt Maute
Advances in Structural and Multidisciplinary Optimization Book PDF

Author : Axel Schumacher,Thomas Vietor,Sierk Fiebig,Kai-Uwe Bletzinger,Kurt Maute
Publisher : Springer
Page : 2115 pages
File Size : 41,8 Mb
Release : 2017-12-04
Category : Science
ISBN : 9783319679884

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Advances in Structural and Multidisciplinary Optimization by Axel Schumacher,Thomas Vietor,Sierk Fiebig,Kai-Uwe Bletzinger,Kurt Maute Pdf

The volume includes papers from the WSCMO conference in Braunschweig 2017 presenting research of all aspects of the optimal design of structures as well as multidisciplinary design optimization where the involved disciplines deal with the analysis of solids, fluids or other field problems. Also presented are practical applications of optimization methods and the corresponding software development in all branches of technology.

Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems

Matthias Ehrgott,Boris Naujoks,Theodor Stewart,Jyrki Wallenius
Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems Book PDF

Author : Matthias Ehrgott,Boris Naujoks,Theodor Stewart,Jyrki Wallenius
Publisher : Springer Science & Business Media
Page : 389 pages
File Size : 51,7 Mb
Release : 2010-03-10
Category : Technology & Engineering
ISBN : 9783642040450

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Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems by Matthias Ehrgott,Boris Naujoks,Theodor Stewart,Jyrki Wallenius Pdf

In the twenty-first century the sustainability of energy and transportation systems is on the top of the political agenda in many countries around the world. Environmental impacts of human economic activity necessitate the consideration of conflicting goals in decision making processes to develop sustainable systems. Any sustainable development has to reconcile conflicting economic and environmental objectives and criteria. The science of multiple criteria decision making has a lot to offer in addressing this need. Decision making with multiple (conflicting) criteria is the topic of research that is at the heart of the International Society of Multiple Criteria Decision Making. This book is based on selected papers presented at the societies 19th International Conference, held at The University of Auckland, New Zealand, from 7th to 12th January 2008 under the theme "MCDM for Sustainable Energy and Transportation Systems''.

Engineering Design Optimization

Joaquim R. R. A. Martins,Andrew Ning
Engineering Design Optimization Book PDF

Author : Joaquim R. R. A. Martins,Andrew Ning
Publisher : Cambridge University Press
Page : 652 pages
File Size : 41,8 Mb
Release : 2021-11-18
Category : Mathematics
ISBN : 9781108833417

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Engineering Design Optimization by Joaquim R. R. A. Martins,Andrew Ning Pdf

A rigorous yet accessible graduate textbook covering both fundamental and advanced optimization theory and algorithms.

Computational Intelligence in Expensive Optimization Problems

Yoel Tenne,Chi-Keong Goh
Computational Intelligence in Expensive Optimization Problems Book PDF

Author : Yoel Tenne,Chi-Keong Goh
Publisher : Springer Science & Business Media
Page : 800 pages
File Size : 49,9 Mb
Release : 2010-03-10
Category : Technology & Engineering
ISBN : 9783642107016

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Computational Intelligence in Expensive Optimization Problems by Yoel Tenne,Chi-Keong Goh Pdf

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation runs, complicated response surface of the simulation inputs-outputs, and etc. Under such difficulties, classical optimization and analysis methods may perform poorly. This motivates the application of computational intelligence methods such as evolutionary algorithms, neural networks and fuzzy logic, which often perform well in such settings. This is the first book to introduce the emerging field of computational intelligence in expensive optimization problems. Topics covered include: dedicated implementations of evolutionary algorithms, neural networks and fuzzy logic. reduction of expensive evaluations (modelling, variable-fidelity, fitness inheritance), frameworks for optimization (model management, complexity control, model selection), parallelization of algorithms (implementation issues on clusters, grids, parallel machines), incorporation of expert systems and human-system interface, single and multiobjective algorithms, data mining and statistical analysis, analysis of real-world cases (such as multidisciplinary design optimization). The edited book provides both theoretical treatments and real-world insights gained by experience, all contributed by leading researchers in the respective fields. As such, it is a comprehensive reference for researchers, practitioners, and advanced-level students interested in both the theory and practice of using computational intelligence for expensive optimization problems.