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Ingénierie et systèmes   > Accueil   > Incertitudes et fiabilité des systèmes multiphysiques   > Optimisation et Fiabilité   > Article

Multiobjective optimization of trusses using Backtracking Search Algorithm

Multiobjective optimization of trusses using Backtracking Search Algorithm


Ahmed Tchvagha Zeine
INSA Rouen - France

Norelislam El Hami
ENSA Kenitra National School of Applied Science of Kenitra - Morocco

Abdelkhalak El Hami
INSA Rouen - France

Siham Ouhimmou
Laboratory of Mechanics University Hassan II
Casablanca - Morocco

Rachid Ellaia
LERMA Mohammadia School of Engineers
Rabat - Morocco
ENSA Kenitra National School of Applied Science of Kenitra - Morocco



Publié le 20 février 2017   DOI : 10.21494/ISTE.OP.2017.0121

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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.

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.

Multiobjective optimization Backtracking Search Structural optimization Truss structures Design optimization

Structural optimization Multiobjective optimization Backtracking Search Truss structures Design optimization