Evolutionary Algorithms for Solving Multi-Objective ProblemsSolving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and stochastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic stochastic approach that has proven to be successful and widely applicable in solving both single-objective and multi-objective problems. 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, incorporating state-of-the-art research. The book disseminates the application of evolutionary algorithm techniques to a variety of practical problems, including test suites with associated performance based on a variety of appropriate metrics, as well as serial and parallel algorithm implementations. |
From inside the book
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... MOEA discussion questions and possible research directions are updated. The first edition presented an organized variety of MOEA topics based on fundamental principles derived from single-objective evolutionary algorithm (EA) ...
... MOEA development and applications issues through the following features: • The text is meant to be both a textbook ... MOEA understanding. • Key features include MOEA classifications and explanations, MOEA applications and techniques ...
... MOEA building block (BB) concepts. In Chapter 2, MOEA developmental history has proceeded in a number of ways from aggregated forms of single-objective Evolutionary Algorithms (EAs) to true multiobjective approaches such as MOGA, MOMGA ...
... MOEA applications via representative examples. This limited com- pendium with an extensive reference listing provides the reader with a start- ing point for their own application and research. Specific MOEA operators as well as ...
... MOEA Goals and Operator Design . . . . . . . . . . . 77 2.3 Structures of Various MOEAs ... MOEA Elements . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 2.5.1 MOEA Comparisons ...
Contents
1 | |
57 | |
Further Explorations 123 | 122 |
MOEA Local Search and Coevolution | 131 |
Further Explorations | 171 |
Further Explorations | 229 |
Further Explorations | 277 |
MOEA Theory and Issues | 283 |
Further Explorations 335 | 334 |
Further Explorations 437 | 436 |
Further Explorations | 509 |
Further Explorations | 541 |
Further Explorations | 617 |
References | 627 |
Index | 761 |