Evolutionary Large-Scale Multi-Objective Optimization and Applications

by Yaochu Jin, Xingyi Zhang, RAN CHENG

Tackle the most challenging problems in science and engineering with these cutting-edge algorithms

Multi-objective optimization problems (MOPs) are those in which more than one objective needs to be optimized simultaneously. As a ubiquitous component of research and engineering projects, these problems are notoriously challenging. In recent years, evolutionary algorithms (EAs) have shown significant promise in their ability to solve MOPs,...

• Format: Hardcover
• Language: English
• ISBN: 1394178417
• ISBN13: 9781394178414
• Release Date: August 2024
• Publisher: Wiley-IEEE Press
• Length: 352 Pages
• Weight: 1.41 lbs.
• Dimensions: 0.8" x 6.0" x 9.0"