Abstract: This paper investigates the optimization of production process decisions based on nonlinear programming and particle swarm optimization genetic algorithm ...

Abstract: This article investigates the nonlinear model predictive control (NMPC) for electric bus operations (EBOs) under dynamic environments, based on the generalized disjunctive programming (GDP) ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

In 1994, a strange, pixelated machine came to life on a computer screen. It read a string of instructions, copied them, and ...

What drew me to Fitbod initially was its promise of efficient, customized workouts. As someone juggling 30+ mile weeks with a full-time job, I didn't have hours to spend in the gym figuring out what ...

OpenAI and Google DeepMind demonstrated that their foundation models could outperform human coders — and win — showing that large language models (LLMs) can solve complex, previously unsolved ...

TensorOpt is a framework-agnostic tensor-based optimization system designed for complex engineering applications. It provides an intuitive interface for defining multi-dimensional optimization ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google's AI can clean up your text messages and summarize the web, but the company is constantly ...

Peer reviewers judge the validity and quality of new research. These judgements would ideally be impartial, but some reviewers may give a more favourable review if they are cited in the article ...

ECE vs CSE: Aspiring engineers must make the crucial choice between Computer Science and Engineering (CSE) and Electronics and Communication Engineering (ECE). Despite the fact that both disciplines ...