Swarm intelligence
Design of truss-structures for minimum weight using genetic algorithms
Finite Elements in Analysis and Design
Genetic Algorithms and Simulated Annealing
Genetic Algorithms and Simulated Annealing
Neurocomputing for Design Automation
Neurocomputing for Design Automation
A Segregated Genetic Algorithm for Constrained Structural Optimization
Proceedings of the 6th International Conference on Genetic Algorithms
Evolutionary Optimization Versus Particle Swarm Optimization: Philosophy and Performance Differences
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
An efficient simulated annealing algorithm for design optimization of truss structures
Computers and Structures
Differential evolution strategy for structural system identification
Computers and Structures
A heuristic particle swarm optimization method for truss structures with discrete variables
Computers and Structures
Size optimization of space trusses using Big Bang-Big Crunch algorithm
Computers and Structures
Truss optimization with dynamic constraints using a particle swarm algorithm
Expert Systems with Applications: An International Journal
Artificial Bee Colony algorithm for optimization of truss structures
Applied Soft Computing
Expert Systems with Applications: An International Journal
A multi-objective binary harmony search algorithm
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part II
Optimal design of truss-structures using particle swarm optimization
Computers and Structures
Improved harmony search algorithms for sizing optimization of truss structures
Computers and Structures
An improved adaptive binary Harmony Search algorithm
Information Sciences: an International Journal
Sizing truss structures using teaching-learning-based optimization
Computers and Structures
A survey of non-gradient optimization methods in structural engineering
Advances in Engineering Software
Fully Stressed Design Evolution Strategy for Shape and Size Optimization of Truss Structures
Computers and Structures
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This paper presents a heuristic particle swarm optimizer (HPSO) for optimum design of pin connected structures. The algorithm is based on the particle swarm optimizer with passive congregation (PSOPC) and a harmony search (HS) scheme. The HPSO algorithm handles the problem-specific constraints using a 'fly-back mechanism' method, and the harmony search scheme deals with the variable constraints. The method is verified and compared with the PSO and PSOPC algorithms used for the designs of five planar and spatial truss structures. The results show that the HPSO algorithm can effectively accelerate the convergence rate and can more quickly reach the optimum design than the two other algorithms.