Oszust, M., Sroka, G., & Cymerys, K. (2021). A hybridization approach with predicted solution candidates for improving population-based optimization algorithms. Information sciences, 574, 133-161. https://doi.org/10.1016/j.ins.2021.04.082
Chicago Style (17th ed.) CitationOszust, Mariusz, Grzegorz Sroka, and Karol Cymerys. "A Hybridization Approach with Predicted Solution Candidates for Improving Population-based Optimization Algorithms." Information Sciences 574 (2021): 133-161. https://doi.org/10.1016/j.ins.2021.04.082.
MLA (9th ed.) CitationOszust, Mariusz, et al. "A Hybridization Approach with Predicted Solution Candidates for Improving Population-based Optimization Algorithms." Information Sciences, vol. 574, 2021, pp. 133-161, https://doi.org/10.1016/j.ins.2021.04.082.