Document Type : Original Research Paper


Civil Engineering Department, Iran University of Science and Technology, Tehran, Iran


In the present paper, using evolutionary strategy, optimization of problems with continuous variables is performed. Evolutionary strategy is one of the meta-exploration methods that is basically provided for problems with continuous variables and can adjust its parameters during the optimization process. In order to evaluate, optimization of known functions is performed using evolutionary strategy and finally the results are presented and the effect of different parameters on the optimization process is presented by presenting tables and graphs. And the results obtained from the presented method are compared with the results obtained from other methods.


Main Subjects

[1] G. M. Fadel, M. F. Riley and J. F. M. Barthelemy, Two-Point Exponential Approximation Method for Structural Optimization, Structural Optimization, Vol. 2, 117-124 ,1990. [2] L. P. Wang and R. V. Grandhi, Efficient Safety Index Calculation for Structural Reliability Analysis, Computers and Structures, Vol. 52, 103- 111 ,1994. [3] L. P. Wang and R.. V. Grandhi, Improved Two Point Function Approximations for Design Optimization, AIAA Journal, Vol. 33, 1720- 1727, 1995. [4] E. Salajegheh, Optimum design of plate structures using three-point approximation, Structural Optimization, VOL. 13, 142-147, 1997. [5] S. Hansen and G.  Vanderplaats, Approximation method for configuration optimization of trusses,  AIAA Journal, Vol. 28, 1990, pp. 161–168. [6] E. Salajegheh, and G. Vanderplaats, Optimum design of trusses with discrete sizing and shape variables,  Structural Optimization, Vol. 6, 1993, pp. 79-85. [7] T. Back, Evolutionary Algorithm in Theory and Practice, Oxford University Press, New York. 1996 [8] Frank Hoffmann, Incremental Tuning of Fuzzy Controllers by Means of an Evolution Strategy, GP98 Conference, Madison, Wisconsin, 1998. [9] S. D. Muller, J. H. Walther, P.D. Koumoutsakos, Evolution Strategy for film cooling Optimization, J. AIAA, Vol. 39, No. 4, 1999. [10] G. Dietz, R. Voß, R.D. Breuker, Airfoil Optimization Based On An Evolution Strategy With Respect To Aeroelasticity, European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS 2004, 2004. [11] K.E. Parsopoulos,  M.N. Vrahatis, Recent approaches to global optimization problems through Particle Swarm Optimization, Natural Computing, Vol 1, No. 2-3, 2002, pp. 235–306