Aerospace and Mechanical Insider on MSN

Multi-agent reinforcement learning driving smart factory agility

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...
Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...
Learn vibe coding: Use AI tools to build apps without coding. This guide covers setup, limits, risks, and SEO tool examples to inspire your own projects. Vibe coding is a new way to create software ...
Management of groundwater quality in agricultural areas requires tradeoffs between competing objectives. These objectives include economic benefit, respect for regulatory-imposed water quality ...
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 ...
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 ...
Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
Next to the primary optimization objectives, scientific optimization problems often contain a series of subordinate objectives, which can be expressed as preferences over either the outputs of an ...
Abstract: Setting optimum process parameters for complex manufacturing processes such as ultrasonic wire bonding is already challenging for one target variable. Due to numerous influencing physical ...