Essays and Surveys in Global Optimization
Essays and Surveys in Global Optimization

Author: Charles Audet

Publisher: Springer Science & Business Media

Published: 2005-04-20

Total Pages: 314

ISBN-13: 9780387255699

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Global optimization aims at solving the most general problems of deterministic mathematical programming: to find the global optimum of a nonlinear, nonconvex, multivariate function of continuous and/or integer variables subject to constraints which may be themselves nonlinear and nonconvex. In addition, once the solutions are found, proof of its optimality is also expected from this methodology. Therefore, with these difficulties in mind, global optimization is becoming an increasingly powerful and important methodology. Essays and Surveys in Global Optimization is the most recent examination of its mathematical capability, power, and wide ranging solutions to many fields in the applied sciences.

Essays and Surveys in Global Optimization
Essays and Surveys in Global Optimization

Author: Charles Audet

Publisher: Springer Science & Business Media

Published: 2005-12-05

Total Pages: 294

ISBN-13: 0387255702

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Global optimization aims at solving the most general problems of deterministic mathematical programming: to find the global optimum of a nonlinear, nonconvex, multivariate function of continuous and/or integer variables subject to constraints which may be themselves nonlinear and nonconvex. In addition, once the solutions are found, proof of its optimality is also expected from this methodology. Therefore, with these difficulties in mind, global optimization is becoming an increasingly powerful and important methodology. Essays and Surveys in Global Optimization is the most recent examination of its mathematical capability, power, and wide ranging solutions to many fields in the applied sciences.

Lectures on Global Optimization
Lectures on Global Optimization

Author: Thomas Frederick Coleman

Publisher: American Mathematical Soc.

Published: 2009

Total Pages: 257

ISBN-13: 0821844857

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A large number of mathematical models in many diverse areas of science and engineering have lead to the formulation of optimization problems where the best solution (globally optimal) is needed. This book covers a small subset of important topics in global optimization with emphasis on theoretical developments and scientific applications.

Parallel Problem Solving from Nature - PPSN XII
Parallel Problem Solving from Nature - PPSN XII

Author: Carlos Coello Coello

Publisher: Springer

Published: 2012-08-27

Total Pages: 551

ISBN-13: 3642329640

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The two volume set LNCS 7491 and 7492 constitutes the refereed proceedings of the 12th International Conference on Parallel Problem Solving from Nature, PPSN 2012, held in Taormina, Sicily, Italy, in September 2012. The total of 105 revised full papers were carefully reviewed and selected from 226 submissions. The meeting began with 6 workshops which offered an ideal opportunity to explore specific topics in evolutionary computation, bio-inspired computing and metaheuristics. PPSN 2012 also included 8 tutorials. The papers are organized in topical sections on evolutionary computation; machine learning, classifier systems, image processing; experimental analysis, encoding, EDA, GP; multiobjective optimization; swarm intelligence, collective behavior, coevolution and robotics; memetic algorithms, hybridized techniques, meta and hyperheuristics; and applications.

Advances in Swarm Intelligence
Advances in Swarm Intelligence

Author: Ying Tan

Publisher: Springer

Published: 2017-07-18

Total Pages: 648

ISBN-13: 3319618334

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The two-volume set of LNCS 10385 and 10386, constitutes the proceedings of the 8th International Conference on Advances in Swarm Intelligence, ICSI 2017, held in Fukuoka, Japan, in July/August 2017. The total of 133 papers presented in these volumes was carefully reviewed and selected from 267 submissions. The paper were organized in topical sections as follows: Part I: theories and models of swarm intelligence; novel swarm-based optimization algorithms; particle swarm optimization; applications of particle swarm optimization; ant colony optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithm; brain storm optimization algorithm; cuckoo searh; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm robotics; hybrid optimization algorithms and applications; fuzzy and swarm approach; clustering and forecast; classification and detection; planning and routing problems; dialog system applications; robotic control; and other applications.

Calculus Without Derivatives
Calculus Without Derivatives

Author: Jean-Paul Penot

Publisher: Springer Science & Business Media

Published: 2012-11-09

Total Pages: 541

ISBN-13: 1461445388

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Calculus Without Derivatives expounds the foundations and recent advances in nonsmooth analysis, a powerful compound of mathematical tools that obviates the usual smoothness assumptions. This textbook also provides significant tools and methods towards applications, in particular optimization problems. Whereas most books on this subject focus on a particular theory, this text takes a general approach including all main theories. In order to be self-contained, the book includes three chapters of preliminary material, each of which can be used as an independent course if needed. The first chapter deals with metric properties, variational principles, decrease principles, methods of error bounds, calmness and metric regularity. The second one presents the classical tools of differential calculus and includes a section about the calculus of variations. The third contains a clear exposition of convex analysis.

Utility Maximization in Nonconvex Wireless Systems
Utility Maximization in Nonconvex Wireless Systems

Author: Johannes Brehmer

Publisher: Springer Science & Business Media

Published: 2012-03-15

Total Pages: 185

ISBN-13: 3642174388

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This monograph develops a framework for modeling and solving utility maximization problems in nonconvex wireless systems. The first part develops a model for utility optimization in wireless systems. The model is general enough to encompass a wide array of system configurations and performance objectives. Based on the general model, a set of methods for solving utility maximization problems is developed in the second part of the book. The development is based on a careful examination of the properties that are required for the application of each method. This part focuses on problems whose initial formulation does not allow for a solution by standard methods and discusses alternative approaches. The last part presents two case studies to demonstrate the application of the proposed framework. In both cases, utility maximization in multi-antenna broadcast channels is investigated.

Global Optimization
Global Optimization

Author: Leo Liberti

Publisher: Springer Science & Business Media

Published: 2006-06-22

Total Pages: 433

ISBN-13: 0387305289

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Most global optimization literature focuses on theory. This book, however, contains descriptions of new implementations of general-purpose or problem-specific global optimization algorithms. It discusses existing software packages from which the entire community can learn. The contributors are experts in the discipline of actually getting global optimization to work, and the book provides a source of ideas for people needing to implement global optimization software.

Models and Algorithms for Global Optimization
Models and Algorithms for Global Optimization

Author: Aimo Törn

Publisher: Springer Science & Business Media

Published: 2007-04-08

Total Pages: 362

ISBN-13: 0387367217

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The research of Antanas Zilinskas has focused on developing models for global optimization, implementing and investigating the corresponding algorithms, and applying those algorithms to practical problems. This volume, dedicated to Professor Zilinskas on the occasion of his 60th birthday, contains new survey papers in which leading researchers from the field present various models and algorithms for solving global optimization problems.

Statistical Modeling and Analysis for Complex Data Problems
Statistical Modeling and Analysis for Complex Data Problems

Author: Pierre Duchesne

Publisher: Springer Science & Business Media

Published: 2005-12-05

Total Pages: 330

ISBN-13: 0387245553

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This book reviews some of today’s more complex problems, and reflects some of the important research directions in the field. Twenty-nine authors – largely from Montreal’s GERAD Multi-University Research Center and who work in areas of theoretical statistics, applied statistics, probability theory, and stochastic processes – present survey chapters on various theoretical and applied problems of importance and interest to researchers and students across a number of academic domains.