Evolutionary Algorithms for Solving Multi-Objective Problems
โ Scribed by Carlos A. Coello Coello, David A. Van Veldhuizen, Gary B. Lamont (auth.)
- Publisher
- Springer US
- Year
- 2002
- Tongue
- English
- Leaves
- 599
- Series
- Genetic Algorithms and Evolutionary Computation 5
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Front Matter....Pages i-xxxv
Basic Concepts....Pages 1-57
Evolutionary Algorithm MOP Approaches....Pages 59-99
MOEA Test Suites....Pages 101-140
MOEA Testing and Analysis....Pages 141-178
MOEA Theory and Issues....Pages 179-205
Applications....Pages 207-292
MOEA Parallelization....Pages 293-320
Multi-Criteria Decision Making....Pages 321-347
Special Topics....Pages 349-388
Epilog....Pages 389-391
Back Matter....Pages 393-576
โฆ Subjects
Artificial Intelligence (incl. Robotics); Theory of Computation; Engineering, general; Operation Research/Decision Theory
๐ SIMILAR VOLUMES
Linear Genetic Programming presents a variant of Genetic Programming that evolves imperative computer programs as linear sequences of instructions, in contrast to the more traditional functional expressions or syntax trees. Typical GP phenomena, such as non-effective code, neutral variations, and co
<p><P>This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. All the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and
<p><span>This textbook is a second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly expanded and adapted for the classroom. The various features of multi-objective evolutionary algorithms are presented here in an innovative and student-friendly fashion, incorpor
The present volume provides a collection of seven articles containing new and high quality research results demonstrating the significance of Multi-objective Evolutionary Algorithms (MOEA) for data mining tasks in Knowledge Discovery from Databases (KDD). These articles are written by leading expert