New framework helps biomanufacturers’ interventions, eyeing quality, cost, and stability for two-step chromatography decisions.

This paper is dedicated to solving the intrinsic problems of the traditional acoustic-contrast-control-pressure-matching (ACC-PM) algorithm that is commonly applied to realize the so-called personal ...

Yet another package for lightweight applications of GA in Python. This package provides utilities for implementation of Genetic Algorithm (Holland 1962) for multivariate, multimodal optimization ...

This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...

The precision of projectile launching mechanisms, which utilize counter-rotating friction wheels, is critical for system effec-tiveness. This study introduces a hybrid approach combining multi-physics ...

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: Accurately estimating battery state of charge (SOC) in electric vehicle applications (EVs) is crucial to ensure a safe and reliable vehicle operation. However, robust SOC estimation under ...

Layout design is an important research topic in the field of manufacturing system. In traditional manufacturing systems, the initial layout design is rarely changed. However, with the increasingly ...

Suppose you’re trying to tune 6 hyperparameters - each with 3 possible values. A traditional grid search would require training 3⁶ models. That’s 729 full RL training runs. Painful, expensive, and ...

Abstract: Uncrewed aerial vehicles (UAVs) require robust communication for operational reliability. Recent research has explored artificial intelligence techniques, particularly metaheuristic ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

Genetic Algorithm Steps GA is a random-based optimization technique that has a number of generic steps that are generally followed to solve any optimization problem. These steps are then customized to ...