The emerging field of soft robotics presents a new paradigm for robot design in which
“precision through rigidity” is replaced by “cognition through compliance.” Lightweight and …

Learning and optimization are the two essential abilities of human beings for problem
solving. Similarly, computer scientists have made great efforts to design artificial neural …

Topology optimization can generate better structures of microchannel with improved cooling
performance. In this paper, microchannel heat sinks with five different inlet and outlet …

Evolutionary neural networks (ENNs) are an adaptive approach that combines the adaptive
mechanism of Evolutionary algorithms (EAs) with the learning mechanism of Artificial Neural …

Reliability-based design optimization (RBDO) algorithm is to minimize the objective under
the probabilistic factors. While gradient-based and classical evolutionary RBDO algorithms …

The role of community building portfolios in socioeconomic development and the growth of
the built environment cannot be overstated. Damage to these structures can have far …

The unique capability of additive manufacturing (AM) to deal with complex geometries drives
the traditional topological optimization and lightweight design to a new paradigm. However …

Large-scale, high-quality data sets are central to the development of advanced machine
learning techniques that increase the effectiveness of existing optimization methods or even …

The electric machines are the elements most used at an industry level, and they represent
the major power consumption of the productive processes. Particularly speaking, among all …

The performance of community building portfolios under extreme events is increasingly
been assessed in terms of socioeconomic and environmental consequences. These …