A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout. by Julie Bedard, Matthew Kropp, Megan Hsu, Olivia T. Karaman, Jason Hawes and ...

This study shows what becomes possible when human creativity and LLM capabilities meet with structure and discipline. By guiding Claude Code, we were able to produce a powerful TUI framework for Ring” ...

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

Abstract: The performance of Fuel Cell Hybrid Electric Vehicles (FCHEVs) depends critically on the effectiveness of the Energy Management Strategy (EMS), the optimization of safe-distance control, and ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

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 ...

This paper presents an innovative approach that combines fuzzy logic with a multi-objective mixed-integer linear programming (MILP) model to address the challenges of optimal planning for electric ...

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...

Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...