This valuable work identifies a subpopulation of neurons in the larval zebrafish pallium that responds differentially to varying threat levels, potentially mediating the categorization of negative ...

The Python extension now supports multi-project workspaces, where each Python project within a workspace gets its own test tree and Python environment. This document explains how multi-project testing ...

Abstract: The node deployment optimization of heterogeneous wireless sensor networks (HWSN) in elongated structural spaces faces complex multi-objective trade-offs. To address the issues of low ...

Abstract: This study proposes a multi-objective scheduling optimization algorithm based on reinforcement learning. This method constructs a deep reinforcement learning framework with Actor-Critic as ...

Management of groundwater quality in agricultural areas requires tradeoffs between competing objectives. These objectives include economic benefit, respect for regulatory-imposed water quality ...

In this tutorial, we implement an advanced Optuna workflow that systematically explores pruning, multi-objective optimization, custom callbacks, and rich visualization. Through each snippet, we see ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Tourism development in emerging destinations requires balancing economic benefits with ecological sustainability. In this study, we investigate the case of multi-attraction tourism planning in Qujing ...

1 School of Aeronautics and Astronautics, Sun Yat-sen University, Guangzhou, China. 2 School of Science and Technology, Hunan University of Technology, Zhuzhou, China. To address the multicoupling ...