Creating models of truss structures with optimization
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Mathematics and Computers in Simulation
Particle swarm approach for structural design optimization
Computers and Structures
Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization
Expert Systems with Applications: An International Journal
An improved genetic algorithm with initial population strategy and self-adaptive member grouping
Computers and Structures
An efficient simulated annealing algorithm for design optimization of truss structures
Computers and Structures
Size optimization of space trusses using Big Bang-Big Crunch algorithm
Computers and Structures
A study of particle swarm optimization particle trajectories
Information Sciences: an International Journal
Metaheuristics: From Design to Implementation
Metaheuristics: From Design to Implementation
Chaotic bee colony algorithms for global numerical optimization
Expert Systems with Applications: An International Journal
A hybrid particle swarm optimization algorithm for high-dimensional problems
Computers and Industrial Engineering
Improved harmony search algorithms for sizing optimization of truss structures
Computers and Structures
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A new combination of swarm intelligence and chaos theory is presented for optimal design of truss structures. Here the tendency to form swarms appearing in many different organisms and chaos theory has been the source of inspiration, and the algorithm is called chaotic swarming of particles (CSP). This method is a kind of multi-phase optimization technique which employs chaos theory in two phases, in the first phase it controls the parameter values of the particle swarm optimization (CPVPSO) and the second phase is utilized for local search (CLSPSO). Some truss structures are optimized using the CSP algorithm, and the results are compared to those of the other meta-heuristic algorithms showing the effectiveness of the new method.