Autore: Gary B. Lamont

Solving 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 thes …

Researchers and practitioners alike are increasingly turning to search, op- timization, and machine-learning procedures based on natural selection and natural genetics to solve problems across the sp …

This book presents an extensive variety of multi-objective problems across diverse disciplines, along with statistical solutions using multi-objective evolutionary algorithms (MOEAs). The topics disc …