Evolutionary algorithms for solving multi-objective problems
All the various features of multi-objective evolutionary algorithms MOEAs evolutionary algorithms for solving multi-objective problems presented in an innovative and student-friendly fashion, incorporating state-of-the-art research results. Amazon Payment Products. Amazon App. Algroithms are 0 customer reviews and 1 customer rating. Goldberg, University of Illinois at Urbana-Champaign. Lamont David Childhood studies personal statement. This evolutionary algorithms for solving multi-objective problems is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for evolutoonary 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 diversity of serial and parallel MOEA structures are given, evaluated and compared. If you are a seller for this product, would you like to suggest updates through seller support? English Choose a language for shopping. From the Back Cover This textbook is the second edition of Evolutionary Algorithms for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. Would you like to tell us about a lower price? Coello Coello and David A. Updated and expanded MOEA exercises, discussion questions and research ideas at the end of each chapter. Get free delivery with Amazon Prime. Additional material on the most recent MOEA test functions and performance measures, as well as on the latest developments on the theoretical foundations of MOEAs.