Multi-objective immune algorithm (MOIA) is a heuristic algorithm based on artificial immune
system model. Due to its characteristics of antibody clonal selection, automatic antigen …

The soaring demand, inevitable changes, and substantial change costs associated with
complex mechanical products (CMPs) have accelerated the need to reasonably and …

Due to inevitable design iterations, requirements are frequently changed and revised. If not
effectively managed, undesired propagating changes may result in monetary and time …

Automatic clustering is a challenging problem, especially when the decision-maker has little
or no information about the nature of the dataset and the criteria of interest. There is a lack of …

It is well known that there may be significant individual differences in physiological signal
patterns for emotional responses. Emotion recognition based on electroencephalogram …

Few-shot learning tries to solve the problems that suffer the limited number of samples. In
this paper we present a novel conditional Triplet loss for solving few-shot problems using …

Clustering ensemble has received considerable research interest and led to a proliferation
of studies, since it has great capabilities to combine multiple base clusters to generate a …

With increasing concerns on customer requirements (CRs) in product improvement, the
research of integrating product scenarios into CRs analysis has attracted the attention of …

Clustering divides objects into groups based on similarity. However, traditional clustering
approaches are plagued by their difficulty in dealing with data with complex structure and …

Overlapping community detection with low computation is one of the fundamental issues
and challenges in large-scale complex network analysis. Detecting a community in a …