Evolutionary Multiobjective Optimization
Theoretical Advances and Applications
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Beschreibung
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.
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
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.
Autor*in
Ajith Abraham
Themen in »Evolutionary Multiobjective Optimization«
Computer Data Structures Genetic Algorithms Multi-Criteria Optimization algorithms automata evolutionary algorithm optimization algorithm analysis and problem complexity