Evolutionary Multiobjective Optimization
Subtitle: Theoretical Advances and Applications (Advanced Information and Knowledge Processing)
Contributors: Ajith Abraham (Editor); Lakhmi C. Jain (Editor); Robert Goldberg (Editor)
Edition: 1 edition
Publisher: Springer
Published: April 22, 2005
Language: eng
Format: Hardcover
Number of pages: 302
ISBN-13: 9781852337872
Subjects: General Theory of Computing; Programming - General; Evolutionary programming (Comp; Computer Science; Computers; Computers - Languages / Programming; Mathematical optimization; Computer Books: General; Information Technology; Evolutionary programming (Computer science); Computers / Computer Science; Genetic algorithms
First sentence: Even though some real-world problems can be reduced to a matter of a single objective very often it is hard to define all the aspects in terms of a single objective.
Description: 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.