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The traditional single clonal selection algorithm has a lot of disadvantages, for example, it is easy to be trapped into local optima, and it has a lot of massive redudacy iteration in its later period and inferior global search ability and so on. In this paper, a new artificial immune algorithm is proposed based on the clonal selection theory and the structure of anti-idiotype(IAAI), which is ...

Germinal centers (GCs) are micro-domains where B cells mature to develop high affinity antibodies. Inside a GC, B cells compete for antigen and T cell help, and the successful ones continue to evolve. New experimental results suggest that, under identical conditions, a wide spectrum of clonal diversity is observed in different GCs, and high affinity B cells are not always the ones selected. We ...

Strings of bits (bitstrings) are a common first-order representation in the design and preliminary investigation of computational intelligence algorithms given (1) the ease in mapping the strings to arbitrary domains (such as real numbers), and (2) in terms of mathematical analysis. This work considers the use of bitstrings in the context of the clonal expansion and antigenic selection in a gen...

Artificial immune system is a class of computational intelligence methods drawing inspiration from human immune system. As one type of popular artificial immune computing model, clonal selection algorithm (CSA) has been widely used for many optimization problems. CSA mainly generates new schemes by hyper-mutation operators which simulate the immune response process. However, these hyper-mutatio...

Clonal selection algorithms (CSAs) is a special class of immune algorithms (IA), inspired by the clonal selection principle of the human immune system. To improve the algorithm’s ability to perform better, this CSA has been modified by implementing two new concepts called fixed mutation factor and ladder mutation factor. Fixed mutation factor maintains a constant factor throughout the process, ...

To explain the essential features such as sufficient diversity, discrimination of self and non-self, and also long-lasting immunologic memory of adaptive immune responses, Burnet and Talmage developed the clonal selection theory. In their model, only the high affinity immune cells are selected to proliferate. Those cells with low affinity must be efficiently deleted or be set as inactive. Howev...

High dimensional pose state space is the main challenge in articulated human motion tacking. In this paper, we propose a novel generative approach in the framework of artificial immune model, by which we try to widen the bottleneck with effective search strategy embedded in the extracted state subspace. Firstly, we learn the latent space of pose state and propose a manifold reconstruction metho...