Jaya: A New Meta-heuristic Algorithm for the Optimization of Braced Dome Structures Tayfun Dede , Maksym Grzywi ´ nski and R. Venkata Rao Abstract A new algorithm called Jaya is presented for the design of the braced dome structures by taking into account the objective function as least weight with frequency constraints. The size optimization is considered for the 3D truss elements. The performance of Jaya algorithm is presented through benchmark 120-bar braced dome. This study indicated that the proposed technique is a powerful technique for the optimal design of domes with the constrained problem. The developed computer program for the analysis and optimization of the dome structure and the optimization algorithm for Jaya are coded in MATLAB. Keywords Jaya algorithm · Size optimization · Frequency constraints · Dome structure 1 Introduction It has been the goal of the researchers to do designs in a short time and with a fewer number of analyses. For this aim, many optimization algorithms are proposed until now. Some of them are bat algorithm (BA), teaching–learning-based optimization (TLBO), evolution strategies (ES), Jaya algorithm (JA), artificial bee colony (ABC), simulated annealing (SA), Grey wolf optimization algorithm (GWO), and genetic algorithm (GA). These algorithms were used in many engineering problems. T. Dede (B ) Department of Civil Engineering, Karadeniz Technical University, Trabzon, Türkiye e-mail: tayfundede@gmail.com M. Grzywi ´ nski Faculty of Civil Engineering, Czestochowa University of Technology, Czestochowa, Poland e-mail: mgrzywin@bud.pcz.pl R. Venkata Rao Department of Mechanical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat 395007, Gujarat, India e-mail: ravipudirao@gmail.com © Springer Nature Singapore Pte Ltd. 2020 R. Venkata Rao and J. Taler (eds.), Advanced Engineering Optimization Through Intelligent Techniques, Advances in Intelligent Systems and Computing 949, https://doi.org/10.1007/978-981-13-8196-6_2 13