“Clonal selection algorithm”的意思、由来-开放百科全书

In artificial immune systems, clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how B and T lymphocytes improve their response to antigens over time called affinity maturation. These algorithms focus on the Darwinian attributes of the theory where selection is inspired by the affinity of antigen-antibody interactions, reproduction is inspired by cell division, and variation is inspired by somatic hypermutation. Clonal selection algorithms are most commonly applied to optimization and pattern recognition domains, some of which resemble parallel hill climbing and the genetic algorithm without the recombination operator^[1].

Notes

1. ^{{Cite web|url=http://www.cleveralgorithms.com/nature-inspired/immune/clonal_selection_algorithm.html|title=Clonal Selection Algorithm|last=Brownlee|first=Jason|date=|website=Clonal Selection Algorithm|archive-url=|archive-date=|dead-url=|access-date=}}
2. ^{{cite journal | last = de Castro | first = L. N. |author2=Von Zuben, F. J. | title = Learning and Optimization Using the Clonal Selection Principle | journal = IEEE Transactions on Evolutionary Computation, Special Issue on Artificial Immune Systems | volume = 6 | issue = 3 | year = 2002 | pages = 239–251 | url = ftp://ftp.dca.fee.unicamp.br/pub/docs/vonzuben/lnunes/ieee_tec01.pdf | format = PDF | doi=10.1109/tevc.2002.1011539}}
3. ^{{cite journal | last = Watkins | first = Andrew |author2=Timmis, Jon |author3=Boggess, Lois | title = Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm | journal = Genetic Programming and Evolvable Machines | volume = 5 | issue = 3 | year = 2004 | pages = 291–317 | url = http://www.cse.msstate.edu/%7Eandrew/research/publications/airs.pdf | format = PDF | doi = 10.1023/B:GENP.0000030197.83685.94 | citeseerx = 10.1.1.58.1410 }}
4. ^{{cite conference | last = Kelsey | first = Johnny |author2=Timmis, Jon | title = Immune Inspired Somatic Contiguous Hypermutation for Function Optimisation | booktitle = Genetic and Evolutionary Computation (GECCO 2003) | year = 2003 | pages = 202 | url = http://www.springerlink.com/content/jmdkyhnrthmec78v/ }}

External links

Clonal Selection Pseudo code on AISWeb

[https://web.archive.org/web/20090711163953/http://www.dca.fee.unicamp.br/~lnunes/manual.html CLONALG in Matlab] developed by Leandro de Castro and Fernando Von Zuben

Optimization Algorithm Toolkit in Java developed by Jason Brownlee which includes the following clonal selection algorithms: Adaptive Clonal Selection (ACS), Optimization Immune Algorithm (opt-IMMALG), Optimization Immune Algorithm (opt-IA), Clonal Selection Algorithm (CLONALG, CLONALG1, CLONALG2), B-Cell Algorithm (BCA), Cloning, Information Gain, Aging (CLIGA), Immunological Algorithm (IA)

AIRS in C++{{dead link|date=August 2017 |bot=InternetArchiveBot |fix-attempted=yes }} developed by Andrew Watkins

BCA in C++{{dead link|date=August 2017 |bot=InternetArchiveBot |fix-attempted=yes }} developed by Johnny Kelsey

2 : Genetic algorithms|Artificial immune systems

Techniques

See also

Notes

External links