Stochastic Recursive Algorithms for Optimization

An Introduction to Sparse Stochastic Processes

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161.

An Introduction to Sparse Stochastic Processes

出版日：2014/10/31 作者：Michael Unser 出版社：Cambridge Univ Pr 裝訂：精裝

Providing a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical property of infinite divisibility, which leads to two distinct types of behaviour - Gaussian and sparse - and the structural link between linear stochastic processes and spline functions, which is exploited to simplify the mathematical analysis. The core of the book is devoted to investigating sparse processes, including a complete description of their transform-domain statistics. The final part develops practical signal-processing algorithms that are based on these models, with special emphasis on biomedical image reconstruction. This is an ideal reference for graduate students and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistic

優惠價： 9 2164

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162.

Optimization Models

出版日：2014/09/30 作者：Giuseppe C. Calafiore 出版社：Cambridge Univ Pr 裝訂：精裝

Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify, model and solve optimization problems - and apply these principles to their own projects. A clear and self-contained introduction to linear algebra demonstrates core mathematical concepts in a way that is easy to follow, and helps students to understand their practical relevance. Requiring only a basic understanding of geometry, calculus, probability and statistics, and striking a careful balance between accessibility and rigor, it enables students to quickly understand the material, without being overwhelmed by complex mathematics. Accompanied by numerous end-of-chapter problems, an online solutions manual for instructors, and relevant examples from diverse fields including engineering, data

優惠價： 9 3334

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Configurable Intelligent Optimization Algorithm ― Design and Practice in Manufacturing

90 折

163.

Configurable Intelligent Optimization Algorithm ― Design and Practice in Manufacturing

出版日：2014/09/09 作者：Fei Tao; Lin Zhang; Yuanjun Laili 出版社：Springer-Verlag New York Inc 裝訂：精裝

Presenting the concept and design and implementation of configurable intelligent optimization algorithms in manufacturing systems, this book provides a new configuration method to optimize manufacturi

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164.

Stochastic Networks

出版日：2014/03/31 作者：Frank Kelly 出版社：Cambridge Univ Pr 裝訂：平裝

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

優惠價： 9 1052

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90 折

165.

Stochastic Networks

出版日：2014/03/31 作者：Frank Kelly 出版社：Cambridge Univ Pr 裝訂：精裝

Communication networks underpin our modern world, and provide fascinating and challenging examples of large-scale stochastic systems. Randomness arises in communication systems at many levels: for example, the initiation and termination times of calls in a telephone network, or the statistical structure of the arrival streams of packets at routers in the Internet. How can routing, flow control and connection acceptance algorithms be designed to work well in uncertain and random environments? This compact introduction illustrates how stochastic models can be used to shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background wishing to understand this important area of application, and to those with an engineering background who want to grasp the underlying mathematical theory. Each chapter ends with exercises and suggestions for further reading.

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166.

Handbook of Memetic Algorithms

出版日：2013/11/30 作者：Ferrante Neri (EDT); Carlos Cotta (EDT); Pablo Moscato (EDT) 出版社：Springer Verlag 裝訂：平裝

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems. The combination and interaction amongst operator

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Global Optimization Methods in Geophysical Inversion

90 折

167.

Global Optimization Methods in Geophysical Inversion

出版日：2013/04/22 作者：Mrinal K. Sen 出版社：Cambridge Univ Pr 裝訂：精裝

Providing an up-to-date overview of the most popular global optimization methods used in interpreting geophysical observations, this new edition includes a detailed description of the theoretical development underlying each method and a thorough explanation of the design, implementation and limitations of algorithms. New and expanded chapters provide details of recently developed methods, such as the neighborhood algorithm, particle swarm optimization, hybrid Monte Carlo and multi-chain MCMC methods. Other chapters include new examples of applications, from uncertainty in climate modeling to whole Earth studies. Several different examples of geophysical inversion, including joint inversion of disparate geophysical datasets, are provided to help readers design algorithms for their own applications. This is an authoritative and valuable text for researchers and graduate students in geophysics, inverse theory and exploration geoscience, and an important resource for professionals working

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Atomic Structure Prediction Of Nanostructures, Clusters And Surfaces

90 折

168.

Atomic Structure Prediction Of Nanostructures, Clusters And Surfaces

出版日：2013/03/13 作者：Ciobanu 出版社：John Wiley & Sons Inc 裝訂：精裝

This work fills the gap for a comprehensive reference conveying the developments in global optimization of atomic structures using genetic algorithms. Over the last few decades, such algorithms based

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169.

Vehicle Propulsion Systems ― Introduction to Modeling and Optimization

出版日：2012/12/25 作者：Lino Guzzella; Antonio Sciarretta 出版社：Springer Verlag 裝訂：精裝

This text provides an introduction to the mathematical modeling and subsequent optimization of vehicle propulsion systems and their supervisory control algorithms. It focuses on the minimization of fu

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Soft Computing Applications in Optimization, Control, and Recognition

90 折

170.

Soft Computing Applications in Optimization, Control, and Recognition

出版日：2012/12/14 作者：Patricia Melin (EDT); Oscar Castillo (EDT) 出版社：Springer-Verlag New York Inc 裝訂：精裝

Soft computing includes several intelligent computing paradigms, like fuzzy logic, neural networks, and bio-inspired optimization algorithms. This book describes the application of soft computing tech

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171.

Investment Strategies Optimization Based on a Sax-ga Methodology

出版日：2012/11/28 作者：Antonio Canelas; Rui Neves; Nuno Horta 出版社：Springer-Verlag New York Inc 裝訂：平裝

This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX represe

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Stochastic Programing—Applications in Finance, Energy, Planning and Logistics

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172.

Stochastic Programing—Applications in Finance, Energy, Planning and Logistics

出版日：2012/11/28 作者：Horand I. Gassmann (EDT); Stein W. Wallace (EDT); William T. Ziemba (EDT) 出版社：World Scientific Pub Co Inc 裝訂：精裝

This book shows the breath and depth of stochastic programming applications. All the papers presented here involve optimization over the scenarios that represent possible future outcomes of the uncert

優惠價： 9 2754

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90 折

173.

Multiobjective Optimization Methodology

出版日：2012/05/04 作者：K. S. Tang; T. M. Chan; R. J. Yin; K. F. Man 出版社：Taylor & Francis 裝訂：精裝

The first book to focus on jumping genes outside bioscience and medicine, Multiobjective Optimization Methodology: A Jumping Gene Approach introduces jumping gene algorithms designed to supply adequat

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Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives

90 折

174.

Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives

出版日：2011/11/21 作者：Jean-Pierre Fouque 出版社：Cambridge Univ Pr 裝訂：精裝

Building upon the ideas introduced in their previous book, Derivatives in Financial Markets with Stochastic Volatility, the authors study the pricing and hedging of financial derivatives under stochastic volatility in equity, interest-rate, and credit markets. They present and analyze multiscale stochastic volatility models and asymptotic approximations. These can be used in equity markets, for instance, to link the prices of path-dependent exotic instruments to market implied volatilities. The methods are also used for interest rate and credit derivatives. Other applications considered include variance-reduction techniques, portfolio optimization, forward-looking estimation of CAPM 'beta', and the Heston model and generalizations of it. 'Off-the-shelf' formulas and calibration tools are provided to ease the transition for practitioners who adopt this new method. The attention to detail and explicit presentation make this also an excellent text for a graduate course in financial and ap

優惠價： 9 3392

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175.

Handbook of Memetic Algorithms

出版日：2011/11/02 作者：Ferrante Neri (EDT); Carlos Cotta (EDT); Pablo Moscato (EDT) 出版社：Springer Verlag 裝訂：精裝

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and various operators in order to address optimization problems.? The combination and interaction amongst operator

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176.

Optimization Based Data Mining

出版日：2011/05/20 作者：Yong Shi; Yingjie Tian; Gang Kou; Yi Peng; Jianping Li 出版社：Springer Verlag 裝訂：精裝

Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), diffe

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177.

Introduction to Genetic Algorithms

出版日：2010/11/23 作者：S. N. Sivanandam; S. N. Deepa 出版社：Springer Verlag 裝訂：平裝

This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition

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Bioinspired Computation in Combinatorial Optimization

90 折

178.

Bioinspired Computation in Combinatorial Optimization

出版日：2010/11/04 作者：Frank Neumann; Carsten Witt 出版社：Springer-Verlag New York Inc 裝訂：精裝

Bioinspired computation methods such as evolutionary algorithms and ant colony optimization are being applied successfully to complex engineering problems and to problems from combinatorial optimizati

優惠價： 9 3375

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179.

Stochastic Simulation Optimization

出版日：2010/08/31 作者：Chun-hung Chen; Loo Hay Lee 出版社：World Scientific Pub Co Inc 裝訂：精裝

With the advance of new computing technology, simulation is becoming very popular for designing large, complex and stochastic engineering systems, since closed-form analytical solutions generally do n

優惠價： 9 3305

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180.

Particle Swarm Optimization and Intelligence: Advances and Applications

出版日：2010/02/28 作者：Konstantinos E. Parsopoulos; Michael N. Vrahatis 出版社：Information Science Reference 裝訂：精裝

While this book is not about numerical optimization or evolutionary and swarm intelligence algorithms in general, it does provide a rough sketch of established theoretical analyses and their impact on

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Convex Optimization in Signal Processing and Communications

90 折

181.

Convex Optimization in Signal Processing and Communications

出版日：2010/01/25 作者：Daniel P. Palomar 出版社：Cambridge Univ Pr 裝訂：精裝

Over the past two decades there have been significant advances in the field of optimization. In particular, convex optimization has emerged as a powerful signal processing tool, and the variety of applications continues to grow rapidly. This book, written by a team of leading experts, sets out the theoretical underpinnings of the subject and provides tutorials on a wide range of convex optimization applications. Emphasis throughout is on cutting-edge research and on formulating problems in convex form, making this an ideal textbook for advanced graduate courses and a useful self-study guide. Topics covered range from automatic code generation, graphical models, and gradient-based algorithms for signal recovery, to semidefinite programming (SDP) relaxation and radar waveform design via SDP. It also includes blind source separation for image processing, robust broadband beamforming, distributed multi-agent optimization for networked systems, cognitive radio systems via game theory, and t

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Stochastic Optimization in Continuous Time

90 折

182.

Stochastic Optimization in Continuous Time

出版日：2009/10/01 作者：Fwu-Ranq Chang 出版社：Cambridge Univ Pr 裝訂：平裝

First published in 2004, this is a rigorous but user-friendly book on the application of stochastic control theory to economics. A distinctive feature of the book is that mathematical concepts are introduced in a language and terminology familiar to graduate students of economics. The standard topics of many mathematics, economics and finance books are illustrated with real examples documented in the economic literature. Moreover, the book emphasises the dos and don'ts of stochastic calculus, cautioning the reader that certain results and intuitions cherished by many economists do not extend to stochastic models. A special chapter (Chapter 5) is devoted to exploring various methods of finding a closed-form representation of the value function of a stochastic control problem, which is essential for ascertaining the optimal policy functions. The book also includes many practice exercises for the reader. Notes and suggested readings are provided at the end of each chapter for more referen

優惠價： 9 2105

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183.

Evolutionary Multi-objective Optimization in Uncertain Environments

出版日：2009/04/01 作者：Chi-keong Goh; Kay Chen Tan 出版社：Springer Verlag 裝訂：精裝

Evolutionary algorithms are sophisticated search methods that have been found to be very efficient and effective in solving complex real-world multi-objective problems where conventional optimization

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90 折

184.

Linear and Nonlinear Optimization

出版日：2009/03/26 作者：Igor Griva ; Stephen G. Nash ; Ariela Sofer 出版社：Cambridge University Press 裝訂：平裝

This book introduces the applications, theory, and algorithms of linear and nonlinear optimization, with an emphasis on the practical aspects of the material. Its unique modular structure provides fle

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Applied Optimization:Formulation and Algorithms for Engineering Systems

90 折

185.

Applied Optimization:Formulation and Algorithms for Engineering Systems

出版日：2009/01/18 作者：Ross Baldick 出版社：Cambridge Univ Pr 裝訂：平裝

The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems and develops techniques for solving them. A number of engineering case studies motivate the development of efficient algorithms that involve, in some cases, transformation of the problem from its initial formulation into a more tractable form. Five general problem classes are considered: linear systems of equations, non-linear systems of equations, unconstrained optimization, equality-constrained optimization and inequality-constrained optimization. The book contains many worked examples and homework exercises and is suitable for students of engineering or operations research taking courses in optimization. Supplementary material including solutions, lecture slides and appendices are available online at www.cambridge.org/9780521

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90 折

186.

Introduction to Applied Optimization

出版日：2008/11/01 作者：Urmila Diwekar 出版社：Springer Verlag 裝訂：精裝

The wide scope of optimization mandates extensive interaction between various disciplines in the development of the methods and algorithms, and in their fruitful application to real-world problems.Th

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

187.

Stochastic Optimization Methods

出版日：2008/07/01 作者：Kurt Marti 出版社：Springer Verlag 裝訂：平裝

Optimization problems arising in practice involve random model parameters. For the computation of robust optimal solutions, i.e., optimal solutions being insenistive with respect to random parameter v

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90 折

188.

Combinatorial Optimization

出版日：2007/10/18 作者：Bernhard Korte; Jens Vygen 出版社：Springer Verlag 裝訂：平裝

Now fully updated in a third edition, this is a comprehensive textbook on combinatorial optimization. It puts special emphasis on theoretical results and algorithms with provably good performance, in

優惠價： 9 3375

無庫存

189.

Ordinal Optimization ─ Soft Computing for Hard Problems

出版日：2007/09/07 作者：Yu-Chi Ho; Qian-chuan Zhao; Qing Shan Jia 出版社：Springer-Verlag New York Inc 裝訂：精裝

The purpose of this book is to address the difficulties of the optimization of complex systems via simulation models or other computation-intensive models involving possible stochastic effects and di

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190.

Advanced Control of Industrial Processes ─ Structures and Algorithms

出版日：2007/01/01 作者：Piotr Tatjewski 出版社：Springer Verlag 裝訂：平裝

This book presents the concepts and algorithms of advanced industrial process control and on-line optimization within the framework of a multilayer structure. It describes the interaction of three sep

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90 折

191.

Parallel Combinatorial Optimization

出版日：2006/09/29 作者：Talbi 出版社：John Wiley & Sons Inc 裝訂：精裝

This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse rang

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

90 折

192.

Particle Swarm Optimization

出版日：2006/02/07 作者：Clerc 出版社：John Wiley & Sons Inc 裝訂：精裝

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies.Since its ori

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

193.

Proceedings of the Ritsumeikan International Symposium

出版日：2004/07/31 作者：Ritsumeikan International Symposium 2003; Jiro Akahori; Shigeyoshi Ogawa; Shinzo Watanabe 出版社：World Scientific Pub Co Inc 裝訂：精裝

This book contains 18 articles on stochastic processes (stochastic calculus and Malliavin calculus, functionals of Brownian motions and Levy processes, stochastic control and optimization problems, st

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

90 折

194.

Stochastic Optimization in Continuous Time

出版日：2004/04/26 作者：Fwu-Ranq Chang 出版社：Cambridge Univ Pr 裝訂：精裝

First published in 2004, this is a rigorous but user-friendly book on the application of stochastic control theory to economics. A distinctive feature of the book is that mathematical concepts are introduced in a language and terminology familiar to graduate students of economics. The standard topics of many mathematics, economics and finance books are illustrated with real examples documented in the economic literature. Moreover, the book emphasises the dos and don'ts of stochastic calculus, cautioning the reader that certain results and intuitions cherished by many economists do not extend to stochastic models. A special chapter (Chapter 5) is devoted to exploring various methods of finding a closed-form representation of the value function of a stochastic control problem, which is essential for ascertaining the optimal policy functions. The book also includes many practice exercises for the reader. Notes and suggested readings are provided at the end of each chapter for more referen

優惠價： 9 2983

無庫存

A First Course in Combinatorial Optimization

90 折

195.

A First Course in Combinatorial Optimization

出版日：2004/02/09 作者：Jon Lee 出版社：Cambridge Univ Pr 裝訂：平裝

A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study.

優惠價： 9 2339

無庫存

90 折

196.

A First Course in Combinatorial Optimization

出版日：2004/02/09 作者：Jon Lee 出版社：Cambridge Univ Pr 裝訂：精裝

A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study.

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

Performance Analysis Of Communication Systems - Modelling With Non-Markovian Stochastic Petri Nets

90 折

197.

Performance Analysis Of Communication Systems - Modelling With Non-Markovian Stochastic Petri Nets

出版日：2000/04/04 作者：German 出版社：John Wiley & Sons Inc 裝訂：精裝

Provides a clear and systematic introduction to the use of stochastic Petri nets in communications systems engineering and the analysis techniques and algorithms used in performance evaluation.The fie

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

198.

Recursive Functions and Metamathematics

出版日：1999/08/01 作者：Roman Murawski 出版社：Springer Verlag 裝訂：精裝

Recursive Functions and Metamathematics deals with problems of the completeness and decidability of theories, using as its main tool the theory of recursive functions. This theory is first introduc

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Interior Point Algorithms: Theory And Analysis

90 折

199.

Interior Point Algorithms: Theory And Analysis

出版日：1997/08/11 作者：Ye 出版社：John Wiley & Sons Inc 裝訂：精裝

The first comprehensive review of the theory and practice of one of today's most powerful optimization techniques.The explosive growth of research into and development of interior point algorithms ove

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Introduction To Real-Time Imaging: A Guide For Engineers And Scientists

90 折

200.

Introduction To Real-Time Imaging: A Guide For Engineers And Scientists

出版日：1995/02/10 作者：Dougherty 出版社：John Wiley & Sons Inc 裝訂：平裝

"An invaluable source for both imaging and software engineers, this practical guide thoroughly covers information in real-time systems, imaging, optimization, algorithms and hardware for image process

若需訂購本書，請電洽客服 02-25006600[分機130、131]。

熱搜：

Stochastic Recursive Algorithms for Optimization

An Introduction to Sparse Stochastic Processes

Optimization Models

Configurable Intelligent Optimization Algorithm ― Design and Practice in Manufacturing

Stochastic Networks

Stochastic Networks

Handbook of Memetic Algorithms

Global Optimization Methods in Geophysical Inversion

Atomic Structure Prediction Of Nanostructures, Clusters And Surfaces

Vehicle Propulsion Systems ― Introduction to Modeling and Optimization

Soft Computing Applications in Optimization, Control, and Recognition

Investment Strategies Optimization Based on a Sax-ga Methodology

Stochastic Programing—Applications in Finance, Energy, Planning and Logistics

Multiobjective Optimization Methodology

Multiscale Stochastic Volatility for Equity, Interest Rate, and Credit Derivatives

Handbook of Memetic Algorithms

Optimization Based Data Mining

Introduction to Genetic Algorithms

Bioinspired Computation in Combinatorial Optimization

Stochastic Simulation Optimization

Particle Swarm Optimization and Intelligence: Advances and Applications

Convex Optimization in Signal Processing and Communications

Stochastic Optimization in Continuous Time

Evolutionary Multi-objective Optimization in Uncertain Environments

Linear and Nonlinear Optimization

Applied Optimization:Formulation and Algorithms for Engineering Systems

Introduction to Applied Optimization

Stochastic Optimization Methods

Combinatorial Optimization

Ordinal Optimization ─ Soft Computing for Hard Problems

Advanced Control of Industrial Processes ─ Structures and Algorithms

Parallel Combinatorial Optimization

Particle Swarm Optimization

Proceedings of the Ritsumeikan International Symposium

Stochastic Optimization in Continuous Time

A First Course in Combinatorial Optimization

A First Course in Combinatorial Optimization

Performance Analysis Of Communication Systems - Modelling With Non-Markovian Stochastic Petri Nets

Recursive Functions and Metamathematics

Interior Point Algorithms: Theory And Analysis

Introduction To Real-Time Imaging: A Guide For Engineers And Scientists