Abstract: Numerous efforts have been made to find efficient optimization methods that reduce resolution times to obtain solutions to the optimal power flow problem in alternating current (ACOPF).

One major issue facing artificial intelligence is the interaction between a computer's memory and its processing capabilities. When an algorithm is in operation, data flows rapidly between these two ...

We use heuristics to solve computationally difficult problems where optimal solutions are too expensive to deploy, hard to manage, or otherwise inefficient. Our prior work, MetaOpt, shows many of the ...

Karandeep Singh Oberoi is a Durham College Journalism and Mass Media graduate who joined the Android Police team in April 2024, after serving as a full-time News Writer at Canadian publication ...

We’re introducing improvements to Facebook’s Feed, search, and navigation systems so you can easily find what you are looking for and dive deeper into your interests. We’re streamlining how you create ...

AI-powered recommendation algorithms on social media are carving pop culture into tiny, personalized bubbles, fueling echo chambers and leaving fewer shared experiences. Creators and educators unpack ...

The way people discover content, like music and art, is changing fast. AI-powered recommendation algorithms are creating fragmented social media feeds, carving pop culture into tiny, personalized ...

I have an app for almost everything I could ever need. Whether I’m craving pizza, need to calculate compound interest, find a tailor for a shirt alteration, or check the current Premier League scores, ...

Abstract: This work addresses bi-objective hybrid flow shop scheduling problems considering consistent sublots (Bi-HFSP_CS). The objectives are to minimize the makespan and total energy consumption.