Author/Authors :
S. Kazemzadeh Azad، S. Kazemzadeh Azad نويسنده Middle East Technical University, Department of Civil Engineering, Ankara, Turkey S. Kazemzadeh Azad, S. Kazemzadeh Azad , A. Jayant Kulkarni، A. Jayant Kulkarni نويسنده School ofMechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore A. Jayant Kulkarni, A. Jayant Kulkarni
Abstract :
The present study is an attempt to propose a mutation-based real-coded genetic algorithm
(MBRCGA) for sizing and layout optimization of planar and spatial truss structures. The
Gaussian mutation operator is used to create the reproduction operators. An adaptive
tournament selection mechanism in combination with adaptive Gaussian mutation operators
are proposed to achieve an effective search in the design space. The standard deviation of
design variables is used as a key factor in the adaptation of mutation operators. The reliability
of the proposed algorithm is investigated in typical sizing and layout optimization problems
with both discrete and continuous design variables. The numerical results clearly indicated the
competitiveness of MBRCGA in comparison with previously presented methods in the
literature.
