Evaluating evolutionary algorithms on spot welding sequence optimization with respect to geometrical variation
Paper in proceedings, 2018

Spot welding is the prevalent joining process in the automotive industry. The spot welding sequence has a notable effect on the geometrical variation of the final assembly. Finding the optimal weld sequence for geometrical quality is a fast growing and NP-complete problem. Using exhaustive search for this purpose can be a time-consuming task. In this paper, genetic, particle swarm and ant colony optimization algorithms are applied to three industrial reference cases. The performance of these algorithms for finding the optimal sequence with respect to geometrical variation is compared considering the number of function evaluations.


Geometrical variation



Roham Sadeghi Tabar

Chalmers, Industrial and Materials Science, Product Development

Kristina Wärmefjord

Chalmers, Industrial and Materials Science

Rikard Söderberg

Chalmers, Industrial and Materials Science

Procedia CIRP

2212-8271 (ISSN)

Vol. 75 421-426

15th CIRP Conference on Computer Aided Tolerancing – CIRP CAT 2018
Milan, Italy,

Smart Assembly 4.0

Swedish Foundation for Strategic Research (SSF), 2016-05-01 -- 2021-06-30.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Control Engineering

Computer Science

Areas of Advance




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