Abstract: Constrained multi-objective problems (CMOPs) are tricky, because it is difficult to handle multiple objectives and constraints simultaneously. Most existing algorithms perform well on CMOPs ...

“I’m working on a Multi-Objective Bayesian Optimization (MOBO) problem involving a system with roughly 60 input parameters and around 30 performance evaluation metrics that we would ideally like to ...

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 ...

This repository contains the MATLAB source code and associated data files to support the findings of the paper: [To be included upon publication]. The code facilitates the simulation, analysis, and ...

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...

Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...

ABSTRACT: SS304 is a commercial grade stainless steel which is used for various engineering applications like shafts, guides, jigs, fixtures, etc. Ceramic coating of the wear areas of such parts is a ...