Collaborative Optimization of Automotive Suspension Dampers Based on PERA Intelligent Solutions

This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...

AI Search GEO Optimization Retrieval Efficiency Industry Evaluation Concludes: Why Did Qiyin Technology's AI Search Optimization GEO System Rank First?

AI Search GEO Optimization Retrieval Efficiency Industry Evaluation Analysis Report: Research on Qiyin Technology's Leading Position in GEO Systems 1. Overview of Industry Position ...
IEEE

Multi-Robot Cooperative Transportation of Irregular Objects by Multi-Objective Optimization With Distributed Control

Abstract: To enhance the efficiency of cooperative transportation by multiple mobile robots, we propose a transportation strategy based on multi-objective optimization of robot configurations. The ...
IEEE

Optimization of Convolutional Neural Networks With Multi-Objective Function Metaheuristics for Melanoma Detection

Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...
Frontiers

Multi-objective optimization of full depth reclamation with Portland cement using NSGA-II for sustainable pavement rehabilitation

Full-depth reclamation with Portland cement (FDR-PC) is a promising technology in modern pavement engineering due to its capability of achieving deep-level treatment of pavement base layer distresses.
Frontiers

Operational response to contamination in water distribution systems: a multi-objective Bayesian optimization approach

1 Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia 2 Department of Civil, Materials, and Environmental Engineering, The University of Illinois Chicago, Chicago, IL, United ...
Scientific Research Publishing

Dynamic Similarity Optimization Design of an Aero-Engine ()

Aiming at the dynamic similarity design of an aero-engine rotor system, this study proposes a parameterized dynamic similarity design method based on a genetic algorithm, specifically addressing the ...