Backing-up control of a truck using neural fuzzy systems with culture-based cooperative differential evolution

This study presents a culture-based cooperative differential evolution (CCDE) for neural fuzzy isystems (NFS) to backing-up control of a truck. CCDE decomposes the fuzzy system into subpopulations, and each individual within each subpopulation evolves separately. The CCDE method uses differential evolution (DE) to generate a new population space to influence the population space. The exemplary individuals are selected from the population space to the belief space in cultural algorithm (CA). Finally, the experimental results show that the proposed CCDE method better approximates the global optimal solution and has a faster convergence rate than the other methods.