599:
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,
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Kelsey, Johnny; Timmis, Jon (2003). "Immune
Inspired Somatic Contiguous Hypermutation for Function Optimisation".
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484:"Artificial Immune Recognition System (AIRS): An Immune-Inspired Supervised Learning Algorithm"
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attributes of the theory where selection is inspired by the affinity of
228:
703:
450:"Learning and Optimization Using the Clonal Selection Principle"
619:
600:
Information Gain, Aging (CLIGA), Immunological
Algorithm (IA)
316:. Clonal selection algorithms are most commonly applied to
704:
Covariance Matrix
Adaptation Evolution Strategy (CMA-ES)
593:
developed by
Leandro de Castro and Fernando Von Zuben
482:
Watkins, Andrew; Timmis, Jon; Boggess, Lois (2004).
917:
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762:
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550:Genetic and Evolutionary Computation (GECCO 2003)
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457:IEEE Transactions on Evolutionary Computation
253:
8:
448:de Castro, L. N.; Von Zuben, F. J. (2002).
638:
624:
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491:Genetic Programming and Evolvable Machines
358:: The Artificial Immune Recognition System
280:are a class of algorithms inspired by the
260:
246:
15:
557:
502:
324:domains, some of which resemble parallel
894:No free lunch in search and optimization
421:
188:
135:
27:
7:
889:Interactive evolutionary computation
681:Interactive evolutionary computation
676:Human-based evolutionary computation
671:Evolutionary multimodal optimization
332:without the recombination operator.
88:Evolutionary multimodal optimization
927:Evolutionary Computation (journal)
513:10.1023/B:GENP.0000030197.83685.94
14:
300:. These algorithms focus on the
113:Promoter based genetic algorithm
699:Cellular evolutionary algorithm
380:Biologically inspired computing
312:, and variation is inspired by
48:Cellular evolutionary algorithm
597:Optimization Algorithm Toolkit
308:, reproduction is inspired by
1:
795:Bacterial Colony Optimization
306:antigen-antibody interactions
199:Cartesian genetic programming
118:Spiral optimization algorithm
585:Clonal Selection Pseudo code
431:"Clonal Selection Algorithm"
214:Multi expression programming
790:Particle swarm optimization
734:Gene expression programming
606:developed by Andrew Watkins
278:clonal selection algorithms
93:Particle swarm optimization
969:
754:Learning classifier system
744:Natural evolution strategy
612:developed by Johnny Kelsey
435:Clonal Selection Algorithm
390:Computational intelligence
292:improve their response to
288:that explains how B and T
204:Linear genetic programming
151:Clonal selection algorithm
103:Natural evolution strategy
953:Artificial immune systems
469:10.1109/tevc.2002.1011539
274:artificial immune systems
719:Evolutionary programming
666:Evolutionary data mining
647:Evolutionary computation
568:10.1007/3-540-45105-6_26
395:Evolutionary computation
385:Computational immunology
375:Artificial immune system
68:Evolutionary computation
849:Artificial intelligence
775:Ant colony optimization
844:Artificial development
714:Differential evolution
661:Evolutionary algorithm
364:: The B-Cell Algorithm
58:Differential evolution
38:Artificial development
29:Evolutionary algorithm
879:Fitness approximation
864:Evolutionary robotics
805:Metaheuristic methods
314:somatic hypermutation
209:Grammatical evolution
171:Genetic fuzzy systems
823:Gaussian adaptation
729:Genetic programming
405:Natural computation
322:pattern recognition
298:affinity maturation
219:Genetic Improvement
190:Genetic programming
123:Self-modifying code
78:Gaussian adaptation
948:Genetic algorithms
770:Swarm intelligence
763:Related techniques
739:Evolution strategy
709:Cultural algorithm
410:Swarm intelligence
73:Evolution strategy
53:Cultural algorithm
935:
934:
909:Program synthesis
884:Genetic operators
874:Fitness landscape
828:Memetic algorithm
813:Firefly algorithm
724:Genetic algorithm
591:CLONALG in Matlab
429:Brownlee, Jason.
330:genetic algorithm
296:over time called
286:acquired immunity
270:
269:
137:Genetic algorithm
98:Memetic algorithm
83:Grammar induction
63:Effective fitness
960:
899:Machine learning
869:Fitness function
859:Digital organism
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523:. Archived from
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282:clonal selection
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234:Parity benchmark
128:Polymorphic code
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854:Artificial life
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552:. p. 202.
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400:Immunocomputing
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43:Artificial life
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837:Related topics
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579:External links
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559:10.1.1.422.515
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497:(3): 291–317.
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530:on 2009-01-08
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348:al selection
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532:. Retrieved
525:the original
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318:optimization
277:
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150:
904:Mating pool
654:Main Topics
604:AIRS in C++
290:lymphocytes
942:Categories
691:Algorithms
610:BCA in C++
534:2008-11-27
336:Techniques
284:theory of
146:Chromosome
587:on AISWeb
554:CiteSeerX
499:CiteSeerX
302:Darwinian
176:Selection
156:Crossover
919:Journals
521:13661336
369:See also
328:and the
294:antigens
161:Mutation
21:a series
19:Part of
342:CLONALG
229:Eurisko
556:
519:
501:
352:orithm
344:: The
224:Schema
23:on the
528:(PDF)
517:S2CID
487:(PDF)
453:(PDF)
416:Notes
356:AIRS
346:CLON
320:and
564:doi
509:doi
465:doi
362:BCA
350:ALG
272:In
944::
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507:.
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276:,
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437:.
261:e
254:t
247:v
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.