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.
|Number of pages||6|
|Publication status||Published - 2002|
|Event||2002 Congress on Evolutionary Computation, CEC 2002 - Honolulu, HI, United States of America|
Duration: 12 May 2002 → 17 May 2002
|Conference||2002 Congress on Evolutionary Computation, CEC 2002|
|Country/Territory||United States of America|
|Period||12 May 2002 → 17 May 2002|