An improved magnetic charged system search for optimization of truss structures with continuous and discrete variables

An improved magnetic charged system search (IMCSS) is presented for optimization of truss structures.In IMCSS some of the most effective parameters in the convergence rate of HS scheme have been improved to achieve the best convergence.The IMCSS algorithm is applied for optimal design problem with both continuous and discrete variables. In this study, an improved magnetic charged system search (IMCSS) is presented for optimization of truss structures. The algorithm is based on magnetic charged system search (MCSS) and improved scheme of harmony search algorithm (IHS). In IMCSS some of the most effective parameters in the convergence rate of the HS scheme have been improved to achieve a better convergence, especially in the final iterations and explore better results than previous studies. The IMCSS algorithm is applied for optimal design problem with both continuous and discrete variables. In comparison to the results of the previous studies, the efficiency and robustness of the proposed algorithm in fast convergence and achieving the optimal values for weight of structures, is demonstrated.

[1]  Hossein Nezamabadi-pour,et al.  GSA: A Gravitational Search Algorithm , 2009, Inf. Sci..

[2]  Zong Woo Geem,et al.  A New Heuristic Optimization Algorithm: Harmony Search , 2001, Simul..

[3]  Tian-bing Tang,et al.  Truss optimization on shape and sizing with frequency constraints based on parallel genetic algorithm , 2011 .

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

[5]  Amir Hossein Alavi,et al.  Krill herd: A new bio-inspired optimization algorithm , 2012 .

[6]  James T. Allison,et al.  Managing variable-dimension structural optimization problems using generative algorithms , 2015, Structural and Multidisciplinary Optimization.

[7]  Ibrahim Eksin,et al.  A new optimization method: Big Bang-Big Crunch , 2006, Adv. Eng. Softw..

[8]  Ali Kaveh,et al.  OPTIMAL DESIGN OF DOUBLE LAYER BARREL VAULTS USING IMPROVED MAGNETIC CHARGED SYSTEM SEARCH , 2014 .

[9]  Siamak Talatahari,et al.  Optimum design of skeletal structures using imperialist competitive algorithm , 2010 .

[10]  Marco Dorigo,et al.  Ant system: optimization by a colony of cooperating agents , 1996, IEEE Trans. Syst. Man Cybern. Part B.

[11]  Ali Kaveh,et al.  Shape-size optimization of single-layer barrel vaults using improved magnetic charged system search , 2014 .

[12]  Ali Kaveh,et al.  Colliding bodies optimization: A novel meta-heuristic method , 2014 .

[13]  A. Gandomi Interior search algorithm (ISA): a novel approach for global optimization. , 2014, ISA transactions.

[14]  K. Lee,et al.  A new structural optimization method based on the harmony search algorithm , 2004 .

[15]  A. Kaveh,et al.  A novel heuristic optimization method: charged system search , 2010 .

[16]  O Keleşoglu,et al.  FUZZY OPTIMIZATION GEOMETRICAL NONLINEAR SPACE TRUSS DESIGN, TURKISH , 2005 .

[17]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[18]  A. Kaveh,et al.  A new optimization method: Dolphin echolocation , 2013, Adv. Eng. Softw..

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

[20]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[21]  A. Kaveh,et al.  A new meta-heuristic method: Ray Optimization , 2012 .

[22]  Siamak Talatahari,et al.  Ant Colony Optimization for Design of Space Trusses , 2008 .

[23]  S. Wu,et al.  Steady-state genetic algorithms for discrete optimization of trusses , 1995 .

[24]  Siamak Talatahari,et al.  A CHARGED SYSTEM SEARCH WITH A FLY TO BOUNDARY METHOD FOR DISCRETE OPTIMUM DESIGN OF TRUSS STRUCTURES , 2010 .

[25]  Siamak Talatahari,et al.  A particle swarm ant colony optimization for truss structures with discrete variables , 2009 .

[26]  Shahram Pezeshk,et al.  Optimized Design of Two-Dimensional Structures Using a Genetic Algorithm , 1998 .

[27]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

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

[29]  Xin-She Yang,et al.  A New Metaheuristic Bat-Inspired Algorithm , 2010, NICSO.

[30]  Ali Kaveh,et al.  Ray optimization for size and shape optimization of truss structures , 2013 .

[31]  A. Kaveh,et al.  Size optimization of space trusses using Big Bang-Big Crunch algorithm , 2009 .

[32]  A. Kaveh,et al.  Magnetic charged system search: a new meta-heuristic algorithm for optimization , 2012, Acta Mechanica.

[33]  Ali Kaveh,et al.  OPTIMUM DESIGN OF SPACE TRUSSES USING CUCKOO SEARCH ALGORITHM WITH LEVY FLIGHTS , 2013 .

[34]  Nikos D. Lagaros,et al.  A general purpose real-world structural design optimization computing platform , 2014 .

[35]  Florian Jarre,et al.  Optimal Truss Design by Interior-Point Methods , 1998, SIAM J. Optim..

[36]  Mehmet Polat Saka,et al.  OPTIMUM DESIGN OF PIN-JOINTED STEEL STRUCTURES WITH PRACTICAL APPLICATIONS , 1990 .

[37]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[38]  M. Fesanghary,et al.  An improved harmony search algorithm for solving optimization problems , 2007, Appl. Math. Comput..