An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using gaussian process regression for expensive problems
Published in Information Sciences, 2021
A constrained global optimization algorithm with clustering-assisted multiobjective infill criteria for expensive problems.
Recommended citation: Jiang, P., Cheng, Y., Yi, J., & Liu, J. (2021). An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using gaussian process regression for expensive problems. Information Sciences, 569, 728-745.