Inferring causal networks using fuzzy cognitive maps and evolutionary algorithms with application to gene regulatory network reconstruction

- Proposed a decomposed evolutionary algorithm for learning fuzzy cognitive map models.
- Applied the proposed method to infer causal networks from gene expression time series.
- Learned 300-node fuzzy cognitive maps while less than 40 nodes are common in the literature.
- Compared four stochastic optimization methods for learning fuzzy cognitive maps.