PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 7, 2026International Journal of Vehicle Performance0 citations

Machine learning-based multi-objective optimisation of automotive aerodynamic add-ons

View Full Paper
LDLingxi DengXPXueliang PangYDYanming Du

Key Points

  • The study aims to optimize automotive aerodynamic add-ons through machine learning techniques to improve vehicle performance.
  • Applied machine learning algorithms for optimization
  • Evaluated multiple aerodynamic designs
  • Compared performance metrics of different add-ons
  • Identified optimal configurations for aerodynamic add-ons
  • Demonstrated significant improvements in drag reduction
  • Showed enhanced fuel efficiency under various conditions

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Deng et al. (2026) studied this question.

synapsesocial.com/papers/69abc1f65af8044f7a4eb116https://doi.org/10.1504/ijvp.2026.10076782
Ask AI
Helpful
Bookmark
Share
View Full Paper