Democratic PSO for truss layout and size optimization with frequency constraints

Authors:
A. Kaveh;A. Zolghadr
Affiliations:
-;-
Venue:
Computers and Structures
Year:
2014

Citing 12
Cited 1

Particle swarm approach for structural design optimization

Computers and Structures
Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures

Computers and Structures
A modified particle swarm optimization via particle visual modeling analysis

Computers & Mathematics with Applications
A perturbed particle swarm algorithm for numerical optimization

Applied Soft Computing
A study of particle swarm optimization particle trajectories

Information Sciences: an International Journal
Metaheuristics: From Design to Implementation

Metaheuristics: From Design to Implementation
Truss optimization with dynamic constraints using a particle swarm algorithm

Expert Systems with Applications: An International Journal
Constrained structural design optimization via a parallel augmented Lagrangian particle swarm optimization approach

Computers and Structures
Self-adaptive learning based particle swarm optimization

Information Sciences: an International Journal
Optimal design of truss-structures using particle swarm optimization

Computers and Structures
Truss optimization with natural frequency constraints using a hybridized CSS-BBBC algorithm with trap recognition capability

Computers and Structures
A novel hybrid charge system search and particle swarm optimization method for multi-objective optimization

Expert Systems with Applications: An International Journal

Colliding Bodies Optimization method for optimum design of truss structures with continuous variables

Advances in Engineering Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper represents a new algorithm for structural optimization with frequency constraints. The new algorithm is termed Democratic Particle Swarm Optimization. The emphasis is placed upon alleviating the premature convergence phenomenon which is believed to be one of flaws of the original PSO. When considering frequency constraints in a structural optimization problem, the search spaces happen to be highly non-linear and non-convex hyper-surfaces with numerous local optima and naturally the problem of premature convergence is amplified. The proposed algorithm is capable of coping with this problem. Four numerical examples are presented to demonstrate the viability of the algorithm.