When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms-Reference-Cited by-同舟云学术

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When hypermutations and ageing enable artificial immune systems to outperform evolutionary algorithms

Published:2020-09 Issue: Volume:832 Page:166-185
ISSN:0304-3975
Container-title:Theoretical Computer Science
language:en
Short-container-title:Theoretical Computer Science

Author:

Corus Dogan,Oliveto Pietro S.,Yazdani Donya

Funder

EPSRC

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference40 articles.

1. On the runtime analysis of the Opt-IA artificial immune system;Corus,2017

2. Artificial Immune Systems: A New Computational Intelligence Paradigm;de Castro,2002

3. The Clonal Selection Theory of Acquired Immunity;Burnet,1959

4. Learning and optimization using the clonal selection principle;de Castro;IEEE Trans. Evol. Comput.,2002

5. Immune inspired somatic contiguous hypermutation for function optimisation;Kelsey,2003

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