Novelty-driven binary particle swarm optimisation for truss optimisation problems

DOI10.1007/978-3-031-04148-8_8zbMath1499.74080arXiv2112.07875OpenAlexW4225470054MaRDI QIDQ2163789

Yanyan Li

Publication date: 11 August 2022

Full work available at URL: https://arxiv.org/abs/2112.07875

zbMATH Keywords

topology optimization of trusses

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonlinear programming (90C30) Approximation methods and heuristics in mathematical programming (90C59) Topological methods for optimization problems in solid mechanics (74P15)

Cites Work

• Layout optimisation of trusses using simulated annealing
• On the analysis of the \((1+1)\) evolutionary algorithm
• Steady-state genetic algorithms for discrete optimization of trusses
• Truss topology, shape and sizing optimization by fully stressed design based on hybrid grey wolf optimization and adaptive differential evolution
• A customized bilevel optimization approach for solving large-scale truss design problems
• Nonlinear Approaches in Engineering Applications
• Layout optimization of trusses using improved GA methodologies
• Design of truss structures for minimum weight using genetic algorithms

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