A global scientific team has designed a novel multigeneration system based on renewable energy and liquid air energy storage, then used soft computing techniques to optimize its operation. The ...

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Large commercial and institutional buildings face significant challenges in maintaining thermal comfort while minimizing ...

This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

Medium and high doses improved movement quality in up to 100% of the animals in a dose-dependent manner This is a significant mile ...

This letter presents a novel stochastic gradient descent algorithm for constrained optimization. The proposed algorithm randomly samples constraints and components of the finite sum objective function ...

The virtual power plant is in an emerging stage, but most of the optimization of the virtual power plant stays in the case of achieving a single objective function optimization. To solve this problem, ...

In this study, a multi-objective Bayesian optimization (MOBO) framework is proposed to optimize operational response to contamination in drinking water distribution systems (WDSs). The optimization ...

This paper conducts a multi-objective structural optimization design for the curved beam rib wing box based on the BP-Multi-Objective Genetic Algorithm optimization mechanism. First, the control ...