Abstract
This chapter studies the influence of population on evolutionary algorithms. We show that, on one hand, population is unexpected for simple functions such as OneMax and LeadningOnes by derving the lower running time bound, and on the other hand, in the presence of noise, using population can enhance the robustness against noise.
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© 2019 Springer Nature Singapore Pte Ltd.
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Zhou, ZH., Yu, Y., Qian, C. (2019). Population. In: Evolutionary Learning: Advances in Theories and Algorithms. Springer, Singapore. https://doi.org/10.1007/978-981-13-5956-9_11
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DOI: https://doi.org/10.1007/978-981-13-5956-9_11
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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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