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Evolutionary Multiobjective Optimization : Theoretical Advances and Applications - Ajith Abraham

Evolutionary Multiobjective Optimization

Theoretical Advances and Applications

By: Ajith Abraham (Editor), Prof. Lakhmi C. Jain (Editor), Robert Goldberg (Editor)

Hardcover Published: 1st April 2005
ISBN: 9781852337872
Number Of Pages: 302

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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.

Evolutionary multiobjective optimizationp. 1
Recent trends in evolutionary multiobjective optimizationp. 7
Self-adaptation and convergence of multiobjective evolutionary algorithms in continuous search spacesp. 33
A simple approach to evolutionary multiobjective optimizationp. 55
Quad-trees : a data structure for storing pareto sets in multiobjective evolutionary algorithms with elitismp. 81
Scalable test problems for evolutionary multiobjective optimizationp. 105
Particle swarm inspired evolutionary algorithm (PS-EA) for multi-criteria optimization problemsp. 147
Evolving continuous pareto regionsp. 167
MOGADES : multiobjective genetic algorithm with distributed environment schemep. 210
Use of multiobjective optimization concepts to handle constraints in genetic algorithmsp. 229
Multi-criteria optimization of finite state automata : maximizing performance while minimizing description lengthp. 255
Multiobjective optimization of space structures under static and seismic loading conditionsp. 273
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9781852337872
ISBN-10: 1852337877
Series: Advanced Information and Knowledge Processing
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 302
Published: 1st April 2005
Publisher: Springer London Ltd
Country of Publication: GB
Dimensions (cm): 23.5 x 15.5  x 1.91
Weight (kg): 1.39