STANKOVIĆ, Tino ;ŠTORGA, Mario ;MARJANOVIĆ, Dorian . Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm. Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 58, n.3, p. 203-212, june 2018. ISSN 0039-2480. Available at: <https://www.sv-jme.eu/sl/article/synthesis-of-truss-structure-designs-by-nsga-ii-and-nodesort-algorithm/>. Date accessed: 31 aug. 2024. doi:http://dx.doi.org/10.5545/sv-jme.2011.042.
Stanković, T., Štorga, M., & Marjanović, D. (2012). Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm. Strojniški vestnik - Journal of Mechanical Engineering, 58(3), 203-212. doi:http://dx.doi.org/10.5545/sv-jme.2011.042
@article{sv-jmesv-jme.2011.042, author = {Tino Stanković and Mario Štorga and Dorian Marjanović}, title = {Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {58}, number = {3}, year = {2012}, keywords = {truss structure design synthesis; genetic algorithms; NodeSort; NSGA-II}, abstract = {This paper presents a genetic algorithm based approach for synthesis of truss structure designs. Genotype represented as a collection of binary encoded nodes is decoded into the phenotype by applying the NodeSort algorithm. A genotype extension to consider a cross-section as variable and variable length chromosomes to produce designs to successfully meet the boundary conditions are all being incorporated into the NodeSort to provide an efficient truss structures synthesis framework. The introduction of multi-objective optimisation using NSGA-II will help to address more real life engineering problems.}, issn = {0039-2480}, pages = {203-212}, doi = {10.5545/sv-jme.2011.042}, url = {https://www.sv-jme.eu/sl/article/synthesis-of-truss-structure-designs-by-nsga-ii-and-nodesort-algorithm/} }
Stanković, T.,Štorga, M.,Marjanović, D. 2012 June 58. Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 58:3
%A Stanković, Tino %A Štorga, Mario %A Marjanović, Dorian %D 2012 %T Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm %B 2012 %9 truss structure design synthesis; genetic algorithms; NodeSort; NSGA-II %! Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm %K truss structure design synthesis; genetic algorithms; NodeSort; NSGA-II %X This paper presents a genetic algorithm based approach for synthesis of truss structure designs. Genotype represented as a collection of binary encoded nodes is decoded into the phenotype by applying the NodeSort algorithm. A genotype extension to consider a cross-section as variable and variable length chromosomes to produce designs to successfully meet the boundary conditions are all being incorporated into the NodeSort to provide an efficient truss structures synthesis framework. The introduction of multi-objective optimisation using NSGA-II will help to address more real life engineering problems. %U https://www.sv-jme.eu/sl/article/synthesis-of-truss-structure-designs-by-nsga-ii-and-nodesort-algorithm/ %0 Journal Article %R 10.5545/sv-jme.2011.042 %& 203 %P 10 %J Strojniški vestnik - Journal of Mechanical Engineering %V 58 %N 3 %@ 0039-2480 %8 2018-06-28 %7 2018-06-28
Stanković, Tino, Mario Štorga, & Dorian Marjanović. "Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm." Strojniški vestnik - Journal of Mechanical Engineering [Online], 58.3 (2012): 203-212. Web. 31 Aug. 2024
TY - JOUR AU - Stanković, Tino AU - Štorga, Mario AU - Marjanović, Dorian PY - 2012 TI - Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm JF - Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2011.042 KW - truss structure design synthesis; genetic algorithms; NodeSort; NSGA-II N2 - This paper presents a genetic algorithm based approach for synthesis of truss structure designs. Genotype represented as a collection of binary encoded nodes is decoded into the phenotype by applying the NodeSort algorithm. A genotype extension to consider a cross-section as variable and variable length chromosomes to produce designs to successfully meet the boundary conditions are all being incorporated into the NodeSort to provide an efficient truss structures synthesis framework. The introduction of multi-objective optimisation using NSGA-II will help to address more real life engineering problems. UR - https://www.sv-jme.eu/sl/article/synthesis-of-truss-structure-designs-by-nsga-ii-and-nodesort-algorithm/
@article{{sv-jme}{sv-jme.2011.042}, author = {Stanković, T., Štorga, M., Marjanović, D.}, title = {Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm}, journal = {Strojniški vestnik - Journal of Mechanical Engineering}, volume = {58}, number = {3}, year = {2012}, doi = {10.5545/sv-jme.2011.042}, url = {https://www.sv-jme.eu/sl/article/synthesis-of-truss-structure-designs-by-nsga-ii-and-nodesort-algorithm/} }
TY - JOUR AU - Stanković, Tino AU - Štorga, Mario AU - Marjanović, Dorian PY - 2018/06/28 TI - Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm JF - Strojniški vestnik - Journal of Mechanical Engineering; Vol 58, No 3 (2012): Strojniški vestnik - Journal of Mechanical Engineering DO - 10.5545/sv-jme.2011.042 KW - truss structure design synthesis, genetic algorithms, NodeSort, NSGA-II N2 - This paper presents a genetic algorithm based approach for synthesis of truss structure designs. Genotype represented as a collection of binary encoded nodes is decoded into the phenotype by applying the NodeSort algorithm. A genotype extension to consider a cross-section as variable and variable length chromosomes to produce designs to successfully meet the boundary conditions are all being incorporated into the NodeSort to provide an efficient truss structures synthesis framework. The introduction of multi-objective optimisation using NSGA-II will help to address more real life engineering problems. UR - https://www.sv-jme.eu/sl/article/synthesis-of-truss-structure-designs-by-nsga-ii-and-nodesort-algorithm/
Stanković, Tino, Štorga, Mario, AND Marjanović, Dorian. "Synthesis of Truss Structure Designs by NSGA-II and NodeSort Algorithm" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 58 Number 3 (28 June 2018)
Strojniški vestnik - Journal of Mechanical Engineering 58(2012)3, 203-212
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.
This paper presents a genetic algorithm based approach for synthesis of truss structure designs. Genotype represented as a collection of binary encoded nodes is decoded into the phenotype by applying the NodeSort algorithm. A genotype extension to consider a cross-section as variable and variable length chromosomes to produce designs to successfully meet the boundary conditions are all being incorporated into the NodeSort to provide an efficient truss structures synthesis framework. The introduction of multi-objective optimisation using NSGA-II will help to address more real life engineering problems.