Carlos A. Coello Coello's Books

Evolutionary Multi-Criterion Optimization

Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings

By: Carlos A. Coello Coello

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Evolutionary Multi-Criterion Optimization

Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings

By: Carlos A. Coello Coello

This book constitutes the refereed proceedings of the Third International Conference on Evolutionary Multi-Criterion Optimization, EMO 2005, held in Guanajuato, Mexico, in March 2005. The 59 revised full papers presented together with 2 invited papers and the summary of a tutorial were carefully reviewed and selected from the 115 papers submitted. The papers are organized in topical sections on algorithm improvements, incorporation of preferences, performance analysis and comparison, uncertainty and noise, alternative methods, and applications in a broad variety of fields.

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Page Count

927

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540249834

ISBN 13

9783540249832

Applications Of Multi-objective Evolutionary Algorithms

By: Carlos A Coello Coello,Gary B Lamont

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Applications Of Multi-objective Evolutionary Algorithms

By: Carlos A Coello Coello,Gary B Lamont

This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics discussed serve to promote a wider understanding as well as the use of MOEAs, the aim being to find good solutions for high-dimensional real-world design applications. The book contains a large collection of MOEA applications from many researchers, and thus provides the practitioner with detailed algorithmic direction to achieve good results in their selected problem domain.

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Page Count

791

Publisher

World Scientific

Published Date

ISBN 10

9814481300

ISBN 13

9789814481304

Evolutionary Algorithms for Solving Multi-Objective Problems

By: Carlos Coello Coello,David A. Van Veldhuizen,Gary B. Lamont

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Evolutionary Algorithms for Solving Multi-Objective Problems

By: Carlos Coello Coello,David A. Van Veldhuizen,Gary B. Lamont

Researchers and practitioners alike are increasingly turning to search, op timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the spectrum of human endeavor. These genetic algorithms and techniques of evolutionary computation are solv ing problems and inventing new hardware and software that rival human designs. The Kluwer Series on Genetic Algorithms and Evolutionary Computation pub lishes research monographs, edited collections, and graduate-level texts in this rapidly growing field. Primary areas of coverage include the theory, implemen tation, and application of genetic algorithms (GAs), evolution strategies (ESs), evolutionary programming (EP), learning classifier systems (LCSs) and other variants of genetic and evolutionary computation (GEC). The series also pub lishes texts in related fields such as artificial life, adaptive behavior, artificial immune systems, agent-based systems, neural computing, fuzzy systems, and quantum computing as long as GEC techniques are part of or inspiration for the system being described. This encyclopedic volume on the use of the algorithms of genetic and evolu tionary computation for the solution of multi-objective problems is a landmark addition to the literature that comes just in the nick of time. Multi-objective evolutionary algorithms (MOEAs) are receiving increasing and unprecedented attention. Researchers and practitioners are finding an irresistible match be tween the popUlation available in most genetic and evolutionary algorithms and the need in multi-objective problems to approximate the Pareto trade-off curve or surface.

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Page Count

600

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1475751842

ISBN 13

9781475751840

Cell Mapping Methods

Algorithmic Approaches and Applications

By: Jian-Qiao Sun,Fu-Rui Xiong,Oliver Schütze,Carlos Hernández

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Cell Mapping Methods

Algorithmic Approaches and Applications

By: Jian-Qiao Sun,Fu-Rui Xiong,Oliver Schütze,Carlos Hernández

This book presents the latest algorithmic developments in the cell-mapping method for the global analysis of nonlinear dynamic systems, global solutions for multi-objective optimization problems, and global solutions for zeros of complex algebraic equations. It also discusses related engineering and scientific applications, including the nonlinear design of structures for better vibration resistance and reliability; multi-objective, structural-acoustic design for sound abatement; optimal multi-objective design of airfoils for better lift; and optimal multi-objective design of linear and nonlinear controls with or without time delay. The first book on the subject to include extensive Matlab and C++ codes, it presents various implementation algorithms of the cell-mapping method, enabling readers to understand how the method works and its programming aspects. A link to the codes on the Springer website will be provided to the readers.

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Page Count

233

Publisher

Springer

Published Date

ISBN 10

9811304572

ISBN 13

9789811304576

Results of Management Turnover in Two Irrigation Districts in Colombia

By: Douglas L. Vermillion,Carlos Garces-Restrepo

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Results of Management Turnover in Two Irrigation Districts in Colombia

By: Douglas L. Vermillion,Carlos Garces-Restrepo

Evaluates the turnover of two formerly government-managed irrigation districts in Colombia to the water users’ associations. Impacts are analyzed in terms of the cost of irrigation to farmers and the government, the quality of water distribution, the sustainability of irrigation, the productivity of agriculture, and farmer income.

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IWMI

Published Date

ISBN 10

9290903295

ISBN 13

9789290903291

Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

By: Oliver Schütze,Carlos Hernández

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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

By: Oliver Schütze,Carlos Hernández

This book presents an overview of archiving strategies developed over the last years by the authors that deal with suitable approximations of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All presented archivers are analyzed with respect to the approximation qualities of the limit archives that they generate and the upper bounds of the archive sizes. The convergence analysis will be done using a very broad framework that involves all existing stochastic search algorithms and that will only use minimal assumptions on the process to generate new candidate solutions. All of the presented archivers can effortlessly be coupled with any set-based multi-objective search algorithm such as multi-objective evolutionary algorithms, and the resulting hybrid method takes over the convergence properties of the chosen archiver. This book hence targets at all algorithm designers and practitioners in the field of multi-objective optimization.

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Page Count

242

Publisher

Springer Nature

Published Date

ISBN 10

3030637735

ISBN 13

9783030637736

Evolutionary Algorithms for Solving Multi-Objective Problems

By: Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen

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Evolutionary Algorithms for Solving Multi-Objective Problems

By: Carlos Coello Coello,Gary B. Lamont,David A. van Veldhuizen

This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems. It contains exhaustive appendices, index and bibliography and links to a complete set of teaching tutorials, exercises and solutions.

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Page Count

810

Publisher

Springer Science & Business Media

Published Date

ISBN 10

0387332545

ISBN 13

9780387332543

Applications of Multi-objective Evolutionary Algorithms

By: Carlos A. Coello Coello,Gary B. Lamont

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Applications of Multi-objective Evolutionary Algorithms

By: Carlos A. Coello Coello,Gary B. Lamont

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Page Count

791

Publisher

World Scientific

Published Date

ISBN 10

9812567798

ISBN 13

9789812567796

Book's by Carlos A. Coello Coello

Evolutionary Multi-Criterion Optimization

Evolutionary Multi-Criterion Optimization

Applications Of Multi-objective Evolutionary Algorithms

Applications Of Multi-objective Evolutionary Algorithms

Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems

Cell Mapping Methods

Cell Mapping Methods

Results of Management Turnover in Two Irrigation Districts in Colombia

Results of Management Turnover in Two Irrigation Districts in Colombia

Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

Evolutionary Algorithms for Solving Multi-Objective Problems

Evolutionary Algorithms for Solving Multi-Objective Problems

Applications of Multi-objective Evolutionary Algorithms

Applications of Multi-objective Evolutionary Algorithms

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