Two-Level Algorithm Combining Bayesian Optimization and Swarm Intelligence for Variable-Size Optimal Layout Problems
Author:
Affiliation:
1. DTIS, ONERA, Palaiseau, France
2. INRIA, Villeneuve d'Ascq, France
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3583133.3596997
Reference20 articles.
1. O. Abdelkhalik and A. Gad. 2012. Dynamic-size multiple populations genetic algorithm for multigravity-assist trajectory optimization. Journal of Guidance Control and Dynamics 35(2) (2012) 520--529. O. Abdelkhalik and A. Gad. 2012. Dynamic-size multiple populations genetic algorithm for multigravity-assist trajectory optimization. Journal of Guidance Control and Dynamics 35(2) (2012) 520--529.
2. Model-based methods for continuous and discrete global optimization
3. Bibliometric Study on the Use of Machine Learning as Resolution Technique for Facility Layout Problems
4. Constraint-handling in genetic algorithms through the use of dominance-based tournament selection
5. Hidden Genes Genetic Algorithm for Multi-Gravity-Assist Trajectories Optimization
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