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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Zhou, ZH., Yu, Y., Qian, C. (2019). Representation. In: Evolutionary Learning: Advances in Theories and Algorithms. Springer, Singapore. https://doi.org/10.1007/978-981-13-5956-9_9
Download citation
DOI: https://doi.org/10.1007/978-981-13-5956-9_9
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-5955-2
Online ISBN: 978-981-13-5956-9
eBook Packages: Computer ScienceComputer Science (R0)