en Optimal design Optimal design پژوهشي Research Over the past decades, several techniques have been employed to improve the applicability of the metaheuristic optimization methods. One of the solutions for improving the capability of metaheuristic methods is the hybrid of algorithms. This study proposes a new optimization algorithm called HPBA which is based on the hybrid of two optimization algorithms; Big Bang-Big Crunch (BB-BC) inspired by the theory of the universe evolution and Artificial Physics Optimization (APO) which is a physical base optimization method. Finally, the performance of the proposed optimization method is compared with the originated methods. Moreover, the performance of the proposed algorithm is evaluated for truss optimization as an applied constrained optimization problem. big bang-big crunch (BB-BC), artificial physics optimization (APO), optimization, metaheuristic methods 55 73 http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-292&slc_lang=en&sid=1 B. H. Sangtarash 180031947532846002737 180031947532846002737 No Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Sistan and Baluchestan, Iran M. R. Ghasemi mrghasemi@eng.usb.ac.ir 180031947532846002738 180031947532846002738 Yes Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Sistan and Baluchestan, Iran H. Ghohani Arab 180031947532846002739 180031947532846002739 No Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Sistan and Baluchestan, Iran M. R. Sohrabi 180031947532846002740 180031947532846002740 No Department of Civil Engineering, University of Sistan and Baluchestan, Zahedan, Sistan and Baluchestan, Iran