This textbook is a second edition of Evolutionary Algorithms for Solving
Multi-Objective Problems, significantly expanded and adapted for the
classroom, with links to a complete set of teaching tutorials, exercises
and solutions. The book contains exhaustive appendices, index and
bibliography. 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.