TY  - Type of reference 
TI  - Multiobjective optimization of trusses using Backtracking Search Algorithm 
AU  - Ahmed Tchvagha Zeine 
AU  - Norelislam El Hami 
AU  - Abdelkhalak El Hami 
AU  - Siham Ouhimmou 
AB  - In engineering, under complex nonlinear constraints, the majority of design problems are generally multiobjective. For multi-objective problems, the computing effort can often rise significantly through the number of objectives and constraints evaluations. Metaheuristics are nowadays seen as powerful algorithms to deal with multiobjective optimization problems. In this paper, we using Backtracking Search Algorithm (BSA) as a tool to solve multiobjective optimization problems in structures, named (BSAMO). A well known benchmark multi-objective problem has been chosen from the literature to demonstrate the validity of the proposed method, applicability of the method for structural problems has been tested through a truss problem and promising results were obtained. The numerical results show not only the effectiveness and the best performance of BSAMO compared to NSGA-II, but also its rapidity and efficiency. 
DO  - 10.21494/ISTE.OP.2017.0121 
JF  - Uncertainties and Reliability of Multiphysical Systems 
KW  -  Structural optimization, Multiobjective optimization,  Backtracking Search,  Truss structures,  Design optimization, Multiobjective optimization,  Backtracking Search,  Structural optimization,  Truss structures,  Design optimization,  
L1  - https://openscience.fr/IMG/pdf/desingoptimization.pdf 
LA  - en 
PB  - ISTE OpenScience 
DA  - 2017/02/20 
SN  - 2514-569X 
TT  - Multiobjective optimization of trusses using Backtracking Search Algorithm 
UR  - https://openscience.fr/Multiobjective-optimization-of-trusses-using-Backtracking-Search-Algorithm-624 
IS  - Optimization and Reliability 
VL  - 1 
ER  -