Layout optimization of truss structures by hybridizing cellular automata and particle swarm optimization

Abstract The main contribution of the present paper is to propose an efficient hybrid optimization algorithm for layout optimization of truss structures. To achieve this, computational merits of the cellular automata (CA) and the particle swarm optimization (PSO) are integrated. In the proposed hybrid algorithm a CA-based mechanism is utilized as the velocity updating equation of the particles in the framework of the sequential unconstrained minimization techniques and therefore it is denoted as sequential cellular PSO (SCPSO). The numerical results demonstrate that SCPSO not only converges to better solutions but also provides faster convergence rate in comparison with other algorithms.

[1]  A. Kaveh,et al.  An enhanced charged system search for configuration optimization using the concept of fields of forces , 2011 .

[2]  P. Fourie,et al.  The particle swarm optimization algorithm in size and shape optimization , 2002 .

[3]  Guan-Chun Luh,et al.  Optimal design of truss-structures using particle swarm optimization , 2011 .

[4]  A. Kaveh,et al.  Sizing, geometry and topology optimization of trusses via force method and genetic algorithm , 2008 .

[5]  O. Hasançebi,et al.  Performance evaluation of metaheuristic search techniques in the optimum design of real size pin jointed structures , 2009 .

[6]  S. Rajasekaran.  Optimization of Large Scale Three Dimensional Reticulated Structures Using Cellular Genetics and Neural Networks , 2001 .

[7]  Shyue-Jian Wu,et al.  Integrated discrete and configuration optimization of trusses using genetic algorithms , 1995 .

[8]  Siamak Talatahari,et al.  Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures , 2009 .

[9]  Liang Gao,et al.  Cellular particle swarm optimization , 2011, Inf. Sci..

[10]  Barry Hilary Valentine Topping,et al.  MINIMUM WEIGHT DESIGN OF STRUCTURAL TOPOLOGIES , 1992 .

[11]  Mehmet Polat Saka,et al.  Optimum Design of Steel Frames using Stochastic Search Techniques Based on Natural Phenomena: A Review , 2007 .

[12]  Mehmet Polat Saka,et al.  Optimum design of unbraced steel frames to LRFD-AISC using particle swarm optimization , 2012, Adv. Eng. Softw..

[13]  K. Tai,et al.  Target matching problems and an adaptive constraint strategy for multiobjective design optimization using genetic algorithms , 2010 .

[14]  Chee Kiong Soh,et al.  Fuzzy Controlled Genetic Algorithm Search for Shape Optimization , 1996 .

[15]  Jiaping Yang,et al.  Optimal Layout of Bridge Trusses by Genetic Algorithms , 1998 .

[16]  S. M. Seyedpoor,et al.  Optimum shape design of arch dams for earthquake loading using a fuzzy inference system and wavelet neural networks , 2009 .

[17]  O. Hasançebi,et al.  On efficient use of simulated annealing in complex structural optimization problems , 2002 .

[18]  Q. H. Wu,et al.  A heuristic particle swarm optimizer for optimization of pin connected structures , 2007 .

[19]  Liyong Tong,et al.  Improved genetic algorithm for design optimization of truss structures with sizing, shape and topology variables , 2005 .

[20]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[21]  J R Saunders,et al.  A particle swarm optimizer with passive congregation. , 2004, Bio Systems.

[22]  S. Gholizadeh,et al.  OPTIMUM DESIGN OF STRUCTURES BY AN IMPROVED PARTICLE SWARM ALGORITHM , 2010 .

[23]  Mehmet Polat Saka,et al.  Ant colony optimization of irregular steel frames including elemental warping effect , 2012, Adv. Eng. Softw..

[24]  B. H. V. Topping,et al.  Shape Optimization of Skeletal Structures: A Review , 1983 .

[25]  Joel L. Schiff,et al.  Cellular Automata: A Discrete View of the World (Wiley Series in Discrete Mathematics & Optimization) , 2007 .

[26]  O. Hasançebi,et al.  Comparison of non-deterministic search techniques in the optimum design of real size steel frames , 2010 .

[27]  S. O. Degertekin.  Improved harmony search algorithms for sizing optimization of truss structures , 2012 .

[28]  S. Gholizadeh,et al.  OPTIMAL DESIGN OF STRUCTURES SUBJECTED TO TIME HISTORY LOADING BY SWARM INTELLIGENCE AND AN ADVANCED METAMODEL , 2009 .

[29]  E. Salajegheh,et al.  Optimum design of trusses with discrete sizing and shape variables , 1993 .

[30]  Saeed Gholizadeh,et al.  Optimal seismic design of steel structures by an efficient soft computing based algorithm , 2010 .

[31]  O. Hasançebi,et al.  Layout optimization of trusses using improved GA methodologies , 2001 .

[32]  Kamran Behdinan,et al.  Particle swarm approach for structural design optimization , 2007 .

[33]  F. Sonmez,et al.  Design optimization of laminated composites using a new variant of simulated annealing , 2011 .

[34]  Carmine Pappalettere,et al.  Metaheuristic Design Optimization of Skeletal Structures: A Review , 2010 .

[35]  A. Gandomi,et al.  Mixed variable structural optimization using Firefly Algorithm , 2011 .

[36]  E Salajegheh,et al.  OPTIMAL DESIGN OF STRUCTURES FOR TIME HISTORY LOADING BY SWARM INTELLIGENCE AND AN ADVANCED MET MODEL , 2009 .

[37]  Garret N. Vanderplaats,et al.  Numerical Optimization Techniques for Engineering Design: With Applications , 1984 .

[38]  Prabhat Hajela,et al.  A cellular framework for structural analysis and optimization , 2005 .

[39]  Prabhat Hajela,et al.  Cellular genetic algorithm technique for the multicriterion design optimization , 2010 .

[40]  John von Neumann,et al.  Theory Of Self Reproducing Automata , 1967 .

[41]  B. H. V. Topping.  Civil Engineering Computations: Tools and Techniques , 2008 .