Optimization design for interference amount of automobile transmission shaft bearings using GNDO and MOChOA

Purpose The purpose of this paper is to address the multi-objective optimization problem of the interference amount between the sealing ring and the dust cover of automotive transmission shaft bearing. Design/methodology/approach An optimization design method for the interference amount of automobile transmission shaft bearings based on the generalized normal distribution optimization (GNDO) and multi-objective chimp optimization algorithm (MOChOA) is put forward. Findings The average value of the pollutant entry amount of the optimized bearings decreases by 77.78%. Originality/value The digital piecewise linear chaotic map with perturbation is used to initialize the positions of chimp individuals. GNDO is used to select the current best location. MOChOA searches for the Pareto optimal solution set. Peer review The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-02-2025-0053/