Planning for promotions is far harder than planning for routine demand and replenishment. The solution lies in a hybrid ...

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The temptation with a car like the Czinger 21C is to treat it as a collection of extreme specifications, and to be fair, it’s ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

A new computer model developed by US researchers could reduce the amount of material for bridges and buildings by up to 90 percent and make future structures far more efficient. The approach was ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

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

Abstract: This paper proposes an alternating refined constraint method (ARCM) for solving multi-objective optimization problems (MOPs) in energy systems. Through a two-stage solution mechanism, ARCM ...

These findings suggest that LLMs can support the optimization of counseling documentation; however, implementation should consider practical constraints (eg, document length) and retain human ...

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 ...