Fitness estimation based particle swarm optimization algorithm for layout design of truss structures

DOI10.1155/2014/671872zbMath1407.74071OpenAlexW2108453570WikidataQ59068742 ScholiaQ59068742MaRDI QIDQ1718898

Shijie Zhang, Chaoli Sun, Zhenguo Yang, Ayang Xiao, Ben-Li Wang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/671872

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Optimization of other properties in solid mechanics (74P10)

Cites Work

• Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions
• Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: A survey of the state-of-the-art
• Layout optimisation of trusses using simulated annealing
• Truss optimization on shape and sizing with frequency constraints based on genetic algorithm
• A new fitness estimation strategy for particle swarm optimization
• Layout optimization of trusses using improved GA methodologies
• Design of truss structures for minimum weight using genetic algorithms

This page was built for publication: Fitness estimation based particle swarm optimization algorithm for layout design of truss structures