Evolutionary Multiobjective Optimization de Ajith Abraham

Evolutionary Multiobjective Optimization: Theoretical Advances and Applications: Advanced Information and Knowledge Processing

Ajith Abraham

Robert Goldberg

en Limba Engleză Paperback – 22 oct 2010

Evolutionary Multiobjective Optimization is a rare collection of the latest state-of-the-art theoretical research, design challenges and applications in the field of multiobjective optimization paradigms using evolutionary algorithms. It includes two introductory chapters giving all the fundamental definitions, several complex test functions and a practical problem involving the multiobjective optimization of space structures under static and seismic loading conditions used to illustrate the various multiobjective optimization concepts.
Important features include:

Detailed overview of all the multiobjective optimization paradigms using evolutionary algorithms
Excellent coverage of timely, advanced multiobjective optimization topics
State-of-the-art theoretical research and application developments
Chapters authored by pioneers in the field

Academics and industrial scientists as well as engineers engaged in research, development and application of evolutionary algorithm based Multiobjective Optimization will find the comprehensive coverage of this book invaluable.

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	Preț	Express
Paperback (1)	803^.78 lei 6-8 săpt.
SPRINGER LONDON – 22 oct 2010	803^.78 lei 6-8 săpt.
Hardback (1)	1145^.82 lei 6-8 săpt.
SPRINGER LONDON – 31 mai 2005	1145^.82 lei 6-8 săpt.

Preț

Express

Paperback (1)

803^.78 lei 6-8 săpt.

SPRINGER LONDON – 22 oct 2010

803^.78 lei 6-8 săpt.

Hardback (1)

1145^.82 lei 6-8 săpt.

SPRINGER LONDON – 31 mai 2005

1145^.82 lei 6-8 săpt.

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Specificații

ISBN-13: 9781849969161
ISBN-10: 1849969167
Pagini: 320
Ilustrații: XVIII, 302 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:Softcover reprint of hardcover 1st ed. 2005
Editura: SPRINGER LONDON
Colecția Springer
Seria Advanced Information and Knowledge Processing

Locul publicării:London, United Kingdom

Cuprins

Evolutionary Multiobjective Optimization.- Recent Trends in Evolutionary Multiobjective Optimization.- Self-adaptation and Convergence of Multiobjective Evolutionary Algorithms in Continuous Search Spaces.- A Simple Approach to Evolutionary Multiobjective Optimization.- Quad-trees: A Data Structure for Storing Pareto Sets in Multiobjective Evolutionary Algorithms with Elitism.- Scalable Test Problems for Evolutionary Multiobjective Optimization.- Particle Swarm Inspired Evolutionary Algorithm (PS-EA) for Multi-Criteria Optimization Problems.- Evolving Continuous Pareto Regions.- MOGADES: Multi-Objective Genetic Algorithm with Distributed Environment Scheme.- Use of Multiobjective Optimization Concepts to Handle Constraints in Genetic Algorithms.- Multi-criteria Optimization of Finite State Automata: Maximizing Performance while Minimizing Description Length.- Multiobjective Optimization of Space Structures under Static and Seismic Loading Conditions.

Caracteristici

Offers the first-ever comprehensive treatment of the developmental as well as application aspects of the "cutting edge” field of evolutionary computation based multi-criteria optimisation The only volume that addresses both the latest conceptual developments and numerous insights into their most effective uses A stellar collection of articles by top researchers in the field, the readers could expect to know the latest problem solving methodologies available and their success stories in several practical applications