Innovative presentation of multi-objective evolutionary algorithms for student-friendly learning
Extensive coverage of practical applications and case studies using various metrics
Comprehensive set of teaching tutorials, exercises, and solutions for effective classroom instruction
Exhaustive appendices, index, and bibliography for easy reference and study
Includes both serial and parallel algorithm implementations for versatile learning
Summarized by Shop
Solving multi-objective problems is an evolving effort, and computer science and other related disciplines have given rise to many powerful deterministic and shastic techniques for addressing these large-dimensional optimization problems. Evolutionary algorithms are one such generic shastic approach that has proven to be successful and wi
Author
Carlos A. Coello, Gary B. Coello, David A. Lamont, Van Veldhuizen