Computational Optimization Methods and Algorithms

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the real-world systems. Another complication is that most problems are often NP-hard, that is, the solution time for finding the optimum increases exponentially with the problem size. The development of efficient algorithms and specialized techniques that address these difficulties is of primary importance for contemporary engineering, science and industry. This book consists of 12 self-contained chapters, contributed from worldwide experts who are working in these exciting areas. The book strives to review and discuss the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization. It also covers well-chosen, real-world applications in science, engineering and industry. Main topics include derivative-free optimization, multi-objective evolutionary algorithms, surrogate-based methods, maximum simulated likelihood estimation, support vector machines, and metaheuristic algorithms. Application case studies include aerodynamic shape optimization, microwave engineering, black-box optimization, classification, economics, inventory optimization and structural optimization. This graduate level book can serve as an excellent reference for lecturers, researchers and students in computational science, engineering and industry.

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  • Author : Slawomir Koziel
  • Publisher : Springer
  • Pages : 283 pages
  • ISBN : 3642208592
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKComputational Optimization Methods and Algorithms

Computational Optimization, Methods and Algorithms

Computational Optimization, Methods and Algorithms
  • Author : Slawomir Koziel,Xin-She Yang
  • Publisher : Springer
  • Release : 17 June 2011
GET THIS BOOKComputational Optimization, Methods and Algorithms

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the

Computational Optimization, Methods and Algorithms

Computational Optimization, Methods and Algorithms
  • Author : Slawomir Koziel,Xin-She Yang
  • Publisher : Springer Science & Business Media
  • Release : 17 June 2011
GET THIS BOOKComputational Optimization, Methods and Algorithms

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for optimality is challenging, either because of the high computational cost of evaluating objectives and constraints, or because of the nonlinearity, multimodality, discontinuity and uncertainty of the problem functions in the

Computational Optimization and Applications in Engineering and Industry

Computational Optimization and Applications in Engineering and Industry
  • Author : Xin-She Yang,Slawomir Koziel
  • Publisher : Springer Science & Business Media
  • Release : 19 June 2011
GET THIS BOOKComputational Optimization and Applications in Engineering and Industry

Contemporary design in engineering and industry relies heavily on computer simulation and efficient algorithms to reduce the cost and to maximize the performance and sustainability as well as profits and energy efficiency. Solving an optimization problem correctly and efficiently requires not only the right choice of optimization algorithms and simulation methods, but also the proper implementation and insight into the problem of interest. This book consists of ten self-contained, detailed case studies of real-world optimization problems, selected from a wide

Intelligent Computational Optimization in Engineering

Intelligent Computational Optimization in Engineering
  • Author : Mario Koeppen,Gerald Schaefer,Ajith Abraham
  • Publisher : Springer Science & Business Media
  • Release : 15 July 2011
GET THIS BOOKIntelligent Computational Optimization in Engineering

We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances

Computational Optimization

Computational Optimization
  • Author : Jong-Shi Pang
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKComputational Optimization

Computational Optimization: A Tribute to Olvi Mangasarian serves as an excellent reference, providing insight into some of the most challenging research issues in the field. This collection of papers covers a wide spectrum of computational optimization topics, representing a blend of familiar nonlinear programming topics and such novel paradigms as semidefinite programming and complementarity-constrained nonlinear programs. Many new results are presented in these papers which are bound to inspire further research and generate new avenues for applications. An informal categorization

Computational Optimization in Engineering

Computational Optimization in Engineering
  • Author : Hossein Peyvandi
  • Publisher : BoD – Books on Demand
  • Release : 26 April 2017
GET THIS BOOKComputational Optimization in Engineering

The purpose of optimization is to maximize the quality of lives, productivity in time, as well as interests. Therefore, optimization is an ongoing challenge for selecting the best possible among many other inferior designs. For a hundred years in the past, as optimization has been essential to human life, several techniques have been developed and utilized. Such a development has been one of the long-lasting challenges in engineering and science, and it is now clear that the optimization goals in

Introduction to Computational Optimization Models for Production Planning in a Supply Chain

Introduction to Computational Optimization Models for Production Planning in a Supply Chain
  • Author : Stefan Voß,David L. Woodruff
  • Publisher : Springer Science & Business Media
  • Release : 20 March 2006
GET THIS BOOKIntroduction to Computational Optimization Models for Production Planning in a Supply Chain

provide models that could be used by do-it-yourselfers and also can be used toprovideunderstandingofthebackgroundissuessothatonecandoabetter job of working with the (proprietary) algorithms of the software vendors. In this book we strive to provide models that capture many of the - tails faced by ?rms operating in a modern supply chain, but we stop short of proposing models for economic analysis of the entire multi-player chain. In other words, we produce models that are useful for planning within a supply chain rather

Recent Advances in Computational Optimization

Recent Advances in Computational Optimization
  • Author : Stefka Fidanova
  • Publisher : Springer
  • Release : 14 July 2015
GET THIS BOOKRecent Advances in Computational Optimization

This volume is a comprehensive collection of extended contributions from the Workshop on Computational Optimization 2014, held at Warsaw, Poland, September 7-10, 2014. The book presents recent advances in computational optimization. The volume includes important real problems like parameter settings for controlling processes in bioreactor and other processes, resource constrained project scheduling, infection distribution, molecule distance geometry, quantum computing, real-time management and optimal control, bin packing, medical image processing, localization the abrupt atmospheric contamination source and so on. It shows how to

Computational Optimization of Internal Combustion Engines

Computational Optimization of Internal Combustion Engines
  • Author : Yu Shi,Hai-Wen Ge,Rolf D. Reitz
  • Publisher : Springer Science & Business Media
  • Release : 22 June 2011
GET THIS BOOKComputational Optimization of Internal Combustion Engines

Computational Optimization of Internal Combustion Engines presents the state of the art of computational models and optimization methods for internal combustion engine development using multi-dimensional computational fluid dynamics (CFD) tools and genetic algorithms. Strategies to reduce computational cost and mesh dependency are discussed, as well as regression analysis methods. Several case studies are presented in a section devoted to applications, including assessments of: spark-ignition engines, dual-fuel engines, heavy duty and light duty diesel engines. Through regression analysis, optimization results are

Computational Optimization of Systems Governed by Partial Differential Equations

Computational Optimization of Systems Governed by Partial Differential Equations
  • Author : Alfio Borzi,Volker Schulz
  • Publisher : SIAM
  • Release : 26 January 2012
GET THIS BOOKComputational Optimization of Systems Governed by Partial Differential Equations

This book provides a bridge between continuous optimization and PDE modelling and focuses on the numerical solution of the corresponding problems. Intended for graduate students in PDE-constrained optimization, it is also suitable as an introduction for researchers in scientific computing or optimization.

Optimization in Computational Chemistry and Molecular Biology

Optimization in Computational Chemistry and Molecular Biology
  • Author : Christodoulos A. Floudas,Panos M. Pardalos
  • Publisher : Springer Science & Business Media
  • Release : 29 June 2013
GET THIS BOOKOptimization in Computational Chemistry and Molecular Biology

Optimization in Computational Chemistry and Molecular Biology: Local and Global Approaches covers recent developments in optimization techniques for addressing several computational chemistry and biology problems. A tantalizing problem that cuts across the fields of computational chemistry, biology, medicine, engineering and applied mathematics is how proteins fold. Global and local optimization provide a systematic framework of conformational searches for the prediction of three-dimensional protein structures that represent the global minimum free energy, as well as low-energy biomolecular conformations. Each contribution in

Computational Intelligence for Optimization

Computational Intelligence for Optimization
  • Author : Nirwan Ansari,Edwin Hou
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKComputational Intelligence for Optimization

The field of optimization is interdisciplinary in nature, and has been making a significant impact on many disciplines. As a result, it is an indispensable tool for many practitioners in various fields. Conventional optimization techniques have been well established and widely published in many excellent textbooks. However, there are new techniques, such as neural networks, simulated anneal ing, stochastic machines, mean field theory, and genetic algorithms, which have been proven to be effective in solving global optimization problems. This book

Computational Optimization

Computational Optimization
  • Author : Richard F. Linton,Thomas B. Carroll (Jr.)
  • Publisher : Nova Science Pub Incorporated
  • Release : 01 March 2021
GET THIS BOOKComputational Optimization

In mathematics and computer science, an optimisation problem is the problem of finding the best solution from all feasible solutions. Computational optimisation is crucial in many fields of science and technology as well as in finance, business and medicine. This new book presents state-of-the-art research in the field.