Evolutionary optimization algorithms : biologically-Inspired and population-based approaches to computer intelligence

By D. Simon. 2013

322 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/54b5c691ebd284b9374101cad7c7ac0680e81821

How researchers see this paper

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

1. Shayegan Omidshafiei
2. Chris Amato
3. Miao Liu
4. Jonathan P. How
5. Kavinayan Sivakumar
6. Kaiqing Zhang
7. Xueguang Lyu
8. Hanlin Tang

Citations in the corpus

• Learning for multi-robot cooperation in partially observable stochastic environments with macro-actions (2017, background): “Moreover, the iSEM algorithm can be considered a special case of evolutionary programming (EP) [27], which maintains a population of solutions (i.”