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 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...

- Detailed MOEA applications discussed by international experts
- State-of-the-art practical insights in tackling statistical optimization with MOEAs
- A unique monograph covering a wide spectrum of real-world applications
- Step-by-step discussion of MOEA applications in a variety of domains