This paper proposes a hierarchical hybrid particle swarm optimization (PSO) and differential evolution (DE) based algorithm (HHPSODE) to deal with bi-level programming problem (BLPP). To overcome the shortcomings of basic PSO and basic DE, this paper improves PSO and DE, respectively by using a velocity and position modulation method in PSO and a modified mutation strategy in DE. HHPSODE employ...

Abstract Surrogate-assisted meta-heuristic algorithms have shown good performance to solve the computationally expensive problems within a limited computational resource. Compared method that only one surrogate model is utilized, ensembles more efficiency get optimal solution. In this paper, we propose bi-stage surrogate-assisted hybrid algorithm optimization problems. The framework of proposed...

Hybrid chiral mechanical metamaterials with center squares connecting by bi-layer Strips (Bi-Strips) patterned interfaces are designed and fabricated via multi-material 3D printing. Due to the thermal mismatch between bi-strips chirality-induced rotation, designs will undergo either expansion or shrinkage under constant temperature increase, resulting in widely tuned overall coefficients (CTEs)...

In order to improve the accuracy of short-term time series price forecasting, a hybrid model convolutional neural network (CNN) coupled with bi-directional gated recurrent unit (Bi-GRU) and attention mechanism is proposed. The architecture first uses CNN extract valid information from data construct feature vectors, then delivers vectors into Bi-GRU for training, finally self-attentive fully ex...