Topology Optimisation Using MPBILs and Multi-Grid Ground Element
AbstractThis paper aims to study the comparative performance of original multi-objective population-based incremental learning (MPBIL) and three improvements of MPBIL. The first improvement of original MPBIL is an opposite-based concept, whereas the second and third method enhance the performance of MPBIL using the multi and adaptive learning rate, respectively. Four classic multi-objective structural topology optimization problems are used for testing the performance. Furthermore, these topology optimization problems are improved by the method of multiple resolutions of ground elements, which is called a multi-grid approach (MG). Multi-objective design problems with MG design variables are then posed and tackled by the traditional MPBIL and its improved variants. The results show that using MPBIL with opposite-based concept and MG approach can outperform other MPBIL versions. View Full-Text
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Sleesongsom, S.; Bureerat, S. Topology Optimisation Using MPBILs and Multi-Grid Ground Element. Appl. Sci. 2018, 8, 271.
Sleesongsom S, Bureerat S. Topology Optimisation Using MPBILs and Multi-Grid Ground Element. Applied Sciences. 2018; 8(2):271.Chicago/Turabian Style
Sleesongsom, Suwin; Bureerat, Sujin. 2018. "Topology Optimisation Using MPBILs and Multi-Grid Ground Element." Appl. Sci. 8, no. 2: 271.
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