Computational Optimization Books

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Recent Advances in Computational Optimization


Recent Advances in Computational Optimization
  • Author : Stefka Fidanova
  • Publisher : Springer
  • Release : 2020-11-30
  • ISBN : 3030588831
  • Language : En, Es, Fr & De
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This book is a comprehensive collection of extended contributions from the Workshops on Computational Optimization 2019. Our everyday life is unthinkable without optimization. We try to minimize our effort and to maximize the achieved profit. Many real-world and industrial problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. This book presents recent advances in computational optimization. The book includes important real problems like modeling of physical processes, wildfire and flood risk modeling, workforce planning, parameter settings for controlling different processes, optimal electrical vehicle modeling, bioreactor modeling and design of VLSI. It shows how to develop algorithms for them based on new intelligent methods like evolutionary computations, ant colony optimization, constrain programming and others. This research demonstrates how some real-world problems arising in engineering, economics and other domains can be formulated as optimization problems.

Computational Optimization Methods and Algorithms


Computational Optimization  Methods and Algorithms
  • Author : Slawomir Koziel
  • Publisher : Springer Science & Business Media
  • Release : 2011-06-17
  • ISBN : 9783642208584
  • Language : En, Es, Fr & De
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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.

Computational Optimization Methods and Algorithms


Computational Optimization  Methods and Algorithms
  • Author : Slawomir Koziel
  • Publisher : Springer
  • Release : 2016-05-01
  • ISBN : 3662520044
  • Language : En, Es, Fr & De
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Computational optimization is an important paradigm with a wide range of applications. This book reviews and discusses the latest developments concerning optimization and modelling with a focus on methods and algorithms for computational optimization.

Recent Advances in Computational Optimization


Recent Advances in Computational Optimization
  • Author : Stefka Fidanova
  • Publisher : Springer
  • Release : 2019-06-21
  • ISBN : 9783030227234
  • Language : En, Es, Fr & De
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This book presents new optimization approaches and methods and their application in real-world and industrial problems. Numerous processes and problems in real life and industry can be represented as optimization problems, including modeling physical processes, wildfire, natural hazards and metal nanostructures, workforce planning, wireless network topology, parameter settings for controlling different processes, extracting elements from video clips, and management of cloud computing environments. This book shows how to develop algorithms for these problems, based on new intelligent methods like evolutionary computations, ant colony optimization and constraint programming, and demonstrates how real-world problems arising in engineering, economics and other domains can be formulated as optimization problems. The book is useful for researchers and practitioners alike.

Computational Optimization and Applications in Engineering and Industry


Computational Optimization and Applications in Engineering and Industry
  • Author : Xin-She Yang
  • Publisher : Springer Science & Business Media
  • Release : 2011-06-19
  • ISBN : 9783642209857
  • Language : En, Es, Fr & De
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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 range of applications and contributed from worldwide experts who are working in these exciting areas. Optimization topics and applications include gas and water supply networks, oil field production optimization, microwave engineering, aerodynamic shape design, environmental emergence modelling, structural engineering, waveform design for radar and communication systems, parameter estimation in laser experiment and measurement, engineering materials and network scheduling. These case studies have been solved using a wide range of optimization techniques, including particle swarm optimization, genetic algorithms, artificial bee colony, harmony search, adaptive error control, derivative-free pattern search, surrogate-based optimization, variable-fidelity modelling, as well as various other methods and approaches. This book is a practical guide to help graduates and researchers to carry out optimization for real-world applications. More advanced readers will also find it a helpful reference and aide memoire.