Evolutionary Multiobjective Optimization de Ajith Abraham

Evolutionary Multiobjective Optimization

Ajith Abraham

Robert Goldberg

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.

Citește tot Restrânge

	Preț	Express
Paperback (1)	785^.88 lei 43-57 zile
SPRINGER LONDON – 22 oct 2010	785^.88 lei 43-57 zile
Hardback (1)	1119^.78 lei 43-57 zile
SPRINGER LONDON – 31 mai 2005	1119^.78 lei 43-57 zile

Preț

Express

Paperback (1)

785^.88 lei 43-57 zile

SPRINGER LONDON – 22 oct 2010

785^.88 lei 43-57 zile

Hardback (1)

1119^.78 lei 43-57 zile

SPRINGER LONDON – 31 mai 2005

1119^.78 lei 43-57 zile

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