Design of truss-structures for minimum weight using genetic algorithms
Finite Elements in Analysis and Design
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Layout optimisation of trusses using simulated annealing
Advances in Engineering Software - Engineering computational technology
A heuristic particle swarm optimizer for optimization of pin connected structures
Computers and Structures
Particle swarm approach for structural design optimization
Computers and Structures
A discrete particle swarm optimization algorithm for the no-wait flowshop scheduling problem
Computers and Operations Research
Holistic and partial facial features fusion by binary particle swarm optimization
Neural Computing and Applications
An improved binary particle swarm optimization for unit commitment problem
Expert Systems with Applications: An International Journal
A heuristic particle swarm optimization method for truss structures with discrete variables
Computers and Structures
Geometry and topology optimization of geodesic domes using charged system search
Structural and Multidisciplinary Optimization
Learning bayesian networks structures based on memory binary particle swarm optimization
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
A survey of non-gradient optimization methods in structural engineering
Advances in Engineering Software
Democratic PSO for truss layout and size optimization with frequency constraints
Computers and Structures
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A two-stage particle swarm optimization was utilized in this study to solve truss-structure optimization problem achieving minimum weight objective under stress, deflection, and kinematic stability constraints. The topologies of the truss-structure were optimized first from a given ground structure employing the modified binary particle swarm optimization (BPSO), and subsequently the size and shape of members were optimized utilizing the attractive and repulsive particle swarm optimization (ARPSO). The effectiveness of the proposed methodology was evaluated through a two-tier, 39-member, 12-node ground structure problem. It was observed that the proposed methodology can find superior truss structures than those reported in the literatures.