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Structural Engineering and Mechanics
  Volume 66, Number 4, May25 2018, pages 465-476

Numbers Cup Optimization: A new method for optimization problems
Mojtaba Riyahi Vezvari, Ali Ghoddosian and Amin Nikoobin

    In this paper, a new meta-heuristic optimization method is presented. This new method is named \"Numbers Cup Optimization\" (NCO). The NCO algorithm is inspired by the sport competitions. In this method, the objective function and the design variables are defined as the team and the team members, respectively. Similar to all cups, teams are arranged in groups and the competitions are performed in each group, separately. The best team in each group is determined by the minimum or maximum value of the objective function. The best teams would be allowed to the next round of the cup, by accomplishing minor changes. These teams get grouped again. This process continues until two teams arrive the final and the champion of the Numbers Cup would be identified. In this algorithm, the next cups (same iterations) will be repeated by the improvement of players\' performance. To illustrate the capabilities of the proposed method, some standard functions were selected to optimize. Also, size optimization of three benchmark trusses is performed to test the efficiency of the NCO approach. The results obtained from this study, well illustrate the ability of the NCO in solving the optimization problems.
Key Words
    optimization; meta-heuristic; standard function; truss structure; size optimization
Mojtaba Riyahi Vezvari, Ali Ghoddosian and Amin Nikoobin: Faculty of Mechanical Engineering, Semnan University, Semnan, Iran

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