<p><P>Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is c
Multiobjective optimization: interactive and evolutionary approaches
β Scribed by Branke, JΓΌrgen
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Leaves
- 481
- Series
- Lecture notes in computer science 5252.; Lecture notes in computer science. State-of-the-art survey
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Basics on Multiobjective Optimization.- to Multiobjective Optimization: Noninteractive Approaches.- to Multiobjective Optimization: Interactive Approaches.- to Evolutionary Multiobjective Optimization.- Recent Interactive and Preference-Based Approaches.- Interactive Multiobjective Optimization Using a Set of Additive Value Functions.- Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization.- Consideration of Partial User Preferences in Evolutionary Multiobjective Optimization.- Interactive Multiobjective Evolutionary Algorithms.- Visualization of Solutions.- Visualization in the Multiple Objective Decision-Making Framework.- Visualizing the Pareto Frontier.- Modelling, Implementation and Applications.- Meta-Modeling in Multiobjective Optimization.- Real-World Applications of Multiobjective Optimization.- Multiobjective Optimization Software.- Parallel Approaches for Multiobjective Optimization.- Quality Assessment, Learning, and Future Challenges.- Quality Assessment of Pareto Set Approximations.- Interactive Multiobjective Optimization from a Learning Perspective.- Future Challenges.
β¦ Subjects
Multiobjective optimization;Mehrkriterielle Optimierung;Decision making--Mathematical models;Mathematical optimization;Multiple criteria decision making;Conference papers and proceedings;Decision making -- Mathematical models
π SIMILAR VOLUMES
<p><P>Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is c
<p>The main characteristics of the real-world decision-making problems facing humans today are multidimensional and have multiple objectives including ecoΒ nomic, environmental, social, and technical ones. Hence, it seems natural that the consideration of many objectives in the actual decision-makin
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