- author = "Zhi-Hua Zhou and Yang Yu2 and Chao Qian",
- title = "Representation",
- booktitle = "Evolutionary Learning: Advances in Theories and Algorithms",
- publisher = "Springer Nature",
- year = "2019",
- chapter = "9",
- pages = "109--128",
- keywords = "genetic algorithms, genetic programming",
- isbn13 = "978-981-13-5955-2",
-
DOI = "
doi:10.1007/978-981-13-5956-9_9",
- abstract = "This chapter studies the influence of solution representation, by comparing the genetic programming with the genetic algorithm, which employ tree representation and vector representation, respectively. We show that tree representation can lead to better running time than vector representation, on two classical combinatorial problems.",
-
notes = "maximum match-ings and minimum spanning trees.
(1+1)-GP SMO-GP
Nanjing University, China",
