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Multi-objective structural optimization for the automatic member grouping of truss structures using evolutionary algorithms
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DOI：10.1016/j.compstruc.2023.107230.png)
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Abstract
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This paper aims to formulate the multi-objective structural optimization problem to find the best member group-ing of truss structures. The weight of the structure and the different number of discrete cross-sectional areas are the conflicting objective functions to be minimized simultaneously, generating a Pareto front presenting the non-dominated solutions. Sixteen multi-objective evolutionary algorithms are adopted to solve the proposed optimization problems. Several benchmark problems and a new proposed optimization problem are analyzed. Even though original groupings based on symmetry are defined, it is possible to discover other competitive structural member configurations that can interest decision-makers regarding manufacturing, cutting, transportation, checking, and welding.
Keywords:
Automatic member grouping
Multi-objective structural optimization
Differential evolution algorithms
Cardinality constraints
Journal
C
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4.8
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6.2K
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