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.
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© 2019 Springer Nature Singapore Pte Ltd.
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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
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DOI: https://doi.org/10.1007/978-981-13-5956-9_9
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-5955-2
Online ISBN: 978-981-13-5956-9
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