Evolutionary Learning: Advances in Theories and Algorithms

by Zhi-Hua Zhou, Chao Qian, Yang Yu

Many machine learning tasks involve solving complex optimization problems, such as working on non-differentiable, non-continuous, and non-unique objective functions; in some cases it can prove difficult to even define an explicit objective function. Evolutionary learning applies evolutionary algorithms to address optimization problems in machine learning, and has yielded encouraging outcomes in many applications. However, due to the heuristic...

• Format: Hardcover
• Language: English
• ISBN: 9811359555
• ISBN13: 9789811359552
• Release Date: June 2019
• Publisher: Springer
• Length: 361 Pages
• Weight: 1.55 lbs.
• Dimensions: 0.9" x 6.1" x 9.2"