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| Author | : Joshua Knowles |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 413 |
| Release | : 2008-01-28 |
| Genre | : Computers |
| ISBN | : 3540729631 |
Download Multiobjective Problem Solving from Nature Book in PDF, ePub and Kindle
This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.
| Author | : Joshua Knowles |
| Publisher | : Springer |
| Total Pages | : 428 |
| Release | : 2016-04-01 |
| Genre | : |
| ISBN | : 9783662501191 |
Download Multiobjective Problem Solving from Nature Book in PDF, ePub and Kindle
This text examines how multiobjective evolutionary algorithms and related techniques can be used to solve problems, particularly in the disciplines of science and engineering. Contributions by leading researchers show how the concept of multiobjective optimization can be used to reformulate and resolve problems in areas such as constrained optimization, co-evolution, classification, inverse modeling, and design.
| Author | : Xin Yao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1204 |
| Release | : 2004-09-13 |
| Genre | : Computers |
| ISBN | : 3540230920 |
Download Parallel Problem Solving from Nature - PPSN VIII Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 8th International Conference on Parallel Problem Solving from Nature, PPSN 2004, held in Birmingham, UK, in September 2004. The 119 revised full papers presented were carefully reviewed and selected from 358 submissions. The papers address all current issues in biologically inspired computing; they are organized in topical sections on theoretical and foundational issues, new algorithms, applications, multi-objective optimization, co-evolution, robotics and multi-agent systems, and learning classifier systems and data mining.
| Author | : Marc Schoenauer |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 920 |
| Release | : 2000-09-06 |
| Genre | : Computers |
| ISBN | : 3540410562 |
Download Parallel Problem Solving from Nature-PPSN VI Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 6th International Conference on Parallel Problem Solving from Nature, PPSN VI, held in Paris, France in September 2000. The 87 revised full papers presented together with two invited papers were carefully reviewed and selected from 168 submissions. The presentations are organized in topical sections on analysis and theory of evolutionary algorithms, genetic programming, scheduling, representations and operators, co-evolution, constraint handling techniques, noisy and non-stationary environments, combinatorial optimization, applications, machine learning and classifier systems, new algorithms and metaphors, and multiobjective optimization.
| Author | : Ajith Abraham |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 313 |
| Release | : 2005-09-05 |
| Genre | : Computers |
| ISBN | : 1846281377 |
Download Evolutionary Multiobjective Optimization Book in PDF, ePub and Kindle
Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.
| Author | : Carlos Coello Coello |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 810 |
| Release | : 2007-08-26 |
| Genre | : Computers |
| ISBN | : 0387367977 |
Download Evolutionary Algorithms for Solving Multi-Objective Problems Book in PDF, ePub and Kindle
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.
| Author | : Günter Rudolph |
| Publisher | : Springer |
| Total Pages | : 1183 |
| Release | : 2008-09-16 |
| Genre | : Computers |
| ISBN | : 3540877002 |
Download Parallel Problem Solving from Nature - PPSN X Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 10th International Conference on Parallel Problem Solving from Nature, PPSN 2008, held in Dortmund, Germany, in September 2008. The 114 revised full papers presented were carefully reviewed and selected from 206 submissions. The conference covers a wide range of topics, such as evolutionary computation, quantum computation, molecular computation, neural computation, artificial life, swarm intelligence, artificial ant systems, artificial immune systems, self-organizing systems, emergent behaviors, and applications to real-world problems. The paper are organized in topical sections on formal theory, new techniques, experimental analysis, multiobjective optimization, hybrid methods, and applications.
| Author | : Thomas Philip Runarsson |
| Publisher | : Springer |
| Total Pages | : 1079 |
| Release | : 2006-10-06 |
| Genre | : Computers |
| ISBN | : 3540389911 |
Download Parallel Problem Solving from Nature - PPSN IX Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the 9th International Conference on Parallel Problem Solving from Nature, PPSN 2006. The book presents 106 revised full papers covering a wide range of topics, from evolutionary computation to swarm intelligence and bio-inspired computing to real-world applications. These are organized in topical sections on theory, new algorithms, applications, multi-objective optimization, evolutionary learning, as well as representations, operators, and empirical evaluation.
| Author | : Ashish Ghosh |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 1001 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642189652 |
Download Advances in Evolutionary Computing Book in PDF, ePub and Kindle
This book provides a collection of fourty articles containing new material on both theoretical aspects of Evolutionary Computing (EC), and demonstrating the usefulness/success of it for various kinds of large-scale real world problems. Around 23 articles deal with various theoretical aspects of EC and 17 articles demonstrate the success of EC methodologies. These articles are written by leading experts of the field from different countries all over the world.
| Author | : Eckart Zitzler |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 725 |
| Release | : 2001-02-28 |
| Genre | : Business & Economics |
| ISBN | : 3540417451 |
Download Evolutionary Multi-criterion Optimization Book in PDF, ePub and Kindle
This book constitutes the refereed proceedings of the First International Conference on Multi-Criterion Optimization, EMO 2001, held in Zurich, Switzerland in March 2001. The 45 revised full papers presented were carefully reviewed and selected from a total of 87 submissions. Also included are two tutorial surveys and two invited papers. The book is organized in topical sections on algorithm improvements, performance assessment and comparison, constraint handling and problem decomposition, uncertainty and noise, hybrid and alternative methods, scheduling, and applications of multi-objective optimization in a variety of fields.
