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What is Optimize Submerged Arc Welding with QO-Jaya about?

This study focuses on optimizing submerged arc welding (SAW) process parameters using a novel optimization algorithm called Quasi-oppositional based Jaya algorithm (QO-Jaya). The performance of QO-Jaya is compared with traditional optimization methods like Genetic Algorithm and Particle Swarm Optimization across three case studies. The findings indicate that QO-Jaya provides improved results in terms of convergence speed and objective function values for SAW process optimization.

Author

vcrsproject

Language

EN