Performance enhancement of meta-heuristics through random mutation and simulated annealing-based selection for concurrent topology and sizing optimization of truss structures-Reference-Cited by-同舟云学术

Performance enhancement of meta-heuristics through random mutation and simulated annealing-based selection for concurrent topology and sizing optimization of truss structures

Published:2022-04-01 Issue:12 Volume:26 Page:5661-5683
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Kumar Sumit^ORCID,Tejani Ghanshyam G.^ORCID,Pholdee Nantiwat,Bureerat Sujin

Funder

Thailand Research Fund

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-022-06930-2.pdf

Reference65 articles.

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3. Bureerat S, Pholdee N (2016) Optimal truss sizing using an adaptive differential evolution algorithm. J Comput Civ Eng 30(2):04015019

4. Črepinšek M, Liu SH, Mernik L (2012) A note on teaching–learning-based optimization algorithm. Inf Sci 212:79–93

5. De Falco I, Della Cioppa A, Tarantino E (2002) Mutation-based genetic algorithm: performance evaluation. Appl Soft Comput 1(4):285–299

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