Handbook of Evolutionary Computation

By Thomas Bäck, David B. Fogel, Z. Michalewicz. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yaochu Jin
2. Ran Cheng
3. Francisco Herrera
4. Swagatam Das
5. Kenneth O. Stanley
6. Ye Tian
7. Xin Yao
8. Sebastian Risi

Citations in the corpus

• Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, background): “A central idea in evolutionary computation (Goldberg and Holland, 1988; Back et al., 1997) is that evolutionary processes, i.e. those that occurred in nature during the course of billions of years, can also be simulated with computer software.”
• Bio-inspired computation: Where we stand and what's next (2019, background): “be the cornerstone of a unified algorithmic branch denoted as Evolutionary Computation (EC, [6]).”
• Novelty of behaviour as a basis for the neuro-evolution of operant reward learning (2009, unknown): “OF CONTROLLERS”
• Elitism-based compact genetic algorithms (2003, background): “They have been successfully used in a wide variety of applications in business, engineering, and science [1], [ 2 ].”