To speed up low-carbon energy transition, MIT scientists have created a new digital twin system called MFRNet for industrial biomass combustion ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

February 17, 2026) - QScreen AI Inc (CSE: QAI) (OTC Pink: PMEDF) (FSE: 3QP), an innovator fusing Quantum-AI technologies to transform health screening and employee wellness, today announced the filing ...

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 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 ...

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 ...

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 ...

Sign up for the daily CJR newsletter. Objectivity hasn’t always been a cornerstone of journalism. American publishers first turned to objectivity in the early ...

Abstract: In this paper, a multi-objective particle swarm optimization algorithm (DEMOPSO) is proposed, which introduces a double elite selection mechanism to select high-quality elite particles in ...