An artificial immune network for multimodal function optimization

Leandro N. De Castro, Jon Timmis

Allbwn ymchwil: Cyfraniad at gynhadleddPapuradolygiad gan gymheiriaid

632 Dyfyniadau(SciVal)

Crynodeb

This paper presents the adaptation of an immune network model, originally proposed to perform information compression and data clustering, to solve multimodal function optimization problems. The algorithm is described theoretically and empirically compared with similar approaches from the literature. The main features of the algorithm include: automatic determination of the population size, combination of local with global search (exploitation plus exploration of the fitness landscape), defined convergence criterion, and capability of locating and maintaining stable local optima solutions.

Iaith wreiddiolSaesneg
Tudalennau699-704
Nifer y tudalennau6
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 2002
Digwyddiad2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, Unol Daleithiau America
Hyd: 12 Mai 200217 Mai 2002

Cynhadledd

Cynhadledd2002 Congress on Evolutionary Computation, CEC 2002
Gwlad/TiriogaethUnol Daleithiau America
DinasHonolulu, HI
Cyfnod12 Mai 200217 Mai 2002

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