A Topology Optimization for Truss Based on Improved Group Search Optimizer
Computational Intelligence and Security, 2009. CIS '09. International Conference（2009）
摘要
In this paper, a novel optimization algorithm, named group search optimizer (GSO) with two improvements, is used to truss structure topology optimization. And the improved methods are using harmony memory and adhering to the boundary which can improve the algorithm obviously. Then a simple and effective topology method, discretization of topology variables is incorporated with improved GSO to make sure that the topology optimization works well. In the end of the paper, two topology optimal models, a planar truss and a spatial truss, are used to test this topology methods based on the improved GSO. The results show that the method with improved GSO is feasible and robust for truss topology optimization.
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关键词
truss,optimisation,topology variable,spatial truss,topology optimal model,improved gso,group search optimizer,improved group search optimizer,search problems,truss topology optimization,topology optimization,supports,planar truss,truss structure topology optimization,topology variable discretization,topology optimal models,topology method,gso,novel optimization algorithm,harmony memory,improved method,effective topology method,group theory,algorithm design and analysis,convergence,genetic algorithms,optimization,topology,stress,geometry
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