note

Automated Simulation Optimization with Deep Learning and AI using MATLAB and Python

In recent years, the development of AI and machine learning has led an increasing number of companies to automate the optimization of design and control parameters. In particular, a configuration that ...
IEEE

Comparative Analysis of Ga and Nsga-Ii for Multi-Objective Energy Management: Cost, Battery Degradation, and Renewable Utilization

Abstract: This research presents a comparative evaluation of Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA-II) for multi-objective optimization in an energy management ...
IEEE

Multi-objective optimization method for surface shape error and stiffness of large aperture space mirror driven by TCL-OptiStruct-Python collaborative simulation in Isight

Abstract: To address the challenge of collaborative optimization between surface shape accuracy and stiffness of large aperture space mirrors for optical remote sensors, a multiobjective optimization ...
eLife

A differentiable Gillespie algorithm for simulating chemical kinetics, parameter estimation, and designing synthetic biological circuits

This important study introduces a fully differentiable variant of the Gillespie algorithm as an approximate stochastic simulation scheme for complex chemical reaction networks, allowing kinetic ...
PNAS

Computational inference of eIF4F complex function and structure in human cancers

To understand the importance of eIF4F components, we employed computational methods on large public datasets to investigate the impact of positive selection on eIF4F dysregulation in cancer. By ...