UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...

“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 ...

ABSTRACT: This study uses TCAD numerical simulation to evaluate how key absorber parameters in Cu(In, Ga)Se2 (CIGS) thin-film solar cells influence device performance, with the objective 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 ...

Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama-cho, Ikoma, Nara 630-0192, Japan Graduate School of Science and Technology, Nara Institute of ...

Abstract: In this paper, we propose a Multi-objective Particle Swarm Optimization (MOPSO) approach based on a decomposition framework with constraint-handling mechanisms to solve Constrained ...

The growing concerns over climate change, food security, and public health necessitate a transition toward sustainable diets. However, designing diets that are simultaneously healthy, environmentally ...