Cite
Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.
MLA
Grimme, Christian, et al. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” AIP Conference Proceedings, vol. 2070, no. 1, Feb. 2019, pp. 020052-1-020052-4. EBSCOhost, https://doi.org/10.1063/1.5090019.
APA
Grimme, C., Kerschke, P., Emmerich, M. T. M., Preuss, M., Deutz, A. H., & Trautmann, H. (2019). Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization. AIP Conference Proceedings, 2070(1), 020052-1-020052-4. https://doi.org/10.1063/1.5090019
Chicago
Grimme, Christian, Pascal Kerschke, Michael T. M. Emmerich, Mike Preuss, André H. Deutz, and Heike Trautmann. 2019. “Sliding to the Global Optimum: How to Benefit from Non-Global Optima in Multimodal Multi-Objective Optimization.” AIP Conference Proceedings 2070 (1): 020052-1-020052-4. doi:10.1063/1.5090019.