Abstract: The belief rule-based (BRB) system has been popular in complexity system modeling due to its good interpretability. However, the current mainstream optimization methods of the BRB systems ...

Abstract: In this paper, a framework of neurodynamic system consisting of two subsystems with different time-scale is firstly developed for solving multi-objective convex optimization problems. By ...

1. Effective decision-making in environmental management requires the consideration of multiple objectives that may conflict. Common optimization methods use weights on the multiple objectives to ...

The final, formatted version of the article will be published soon. Contamination of treated drinking water is a critical public health and safety concern. In this study, a multi-objective Bayesian ...

Full-depth reclamation with Portland cement (FDR-PC) is a promising technology in modern pavement engineering due to its capability of achieving deep-level treatment of pavement base layer distresses.

Neural network pruning is a key technique for deploying artificial intelligence (AI) models based on deep neural networks (DNNs) on resource-constrained platforms, such as mobile devices. However, ...

SAE Transactions, Vol. 113, Section 5: JOURNAL OF MATERIALS AND MANUFACTURING (2004), pp. 101-110 (10 pages) Modern engineering design often involves computation-intensive simulation processes and ...

In this study, a multi-objective optimization methodology is used to assess the crashworthiness of an aluminum foam-filled battery box designed for passenger cars. Unlike most research focusing on ...