+1 Recommend
0 collections
      • Record: found
      • Abstract: found
      • Article: found

      A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails


      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.


          In this paper, a novel hybrid optimization algorithm is introduced by hybridizing a Harris hawks optimization algorithm(HHO) and simulated annealing for the purpose of accelerating its global convergence performance and optimizing structural design problems. This paper is the first research study in which the hybrid Harris hawks simulated annealing algorithm (HHOSA) is used for the optimization of design parameters for highway guardrail systems. The HHOSA is evaluated using the well-known benchmark problems such as the three-bar truss problem, cantilever beam problem, and welded beam problem. Finally, a guardrail system that has an H1 containment level as a case study is optimized to investigate the performance of the HHOSA. The guardrail systems are designed with different cross-sections and distances between the posts. TB11 and TB42 crash analyses are performed according to EN 1317 standards. Twenty-five different designs are evaluated considering weight, the guardrail working width, and the acceleration severity index (ASI). As a result of this research, the optimum design of a guardrail is obtained, which has a minimum weight and acceleration severity index value (ASI). The results show that the HHOSA is a highly effective approach for optimizing real-world design problems.

          Related collections

          Most cited references83

          • Record: found
          • Abstract: not found
          • Article: not found

          Harris hawks optimization: Algorithm and applications

            • Record: found
            • Abstract: not found
            • Article: not found

            SCA: A Sine Cosine Algorithm for solving optimization problems

              • Record: found
              • Abstract: not found
              • Article: not found

              Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems


                Author and article information

                Materials Testing
                Carl Hanser Verlag
                2 March 2020
                : 62
                : 3
                : 251-260
                1 Bursa, Turkey
                2 Dhahran, Saudi Arabia
                3 Khon Kaen, Thailand
                Author notes
                [] Correspondence Address, Prof. Dr. Ali Rıza Yıldız, Department of Automotive Engineering, Bursa Uludağ University', Görükle, Bursa, Turkey, E-mail: aliriza@ 123456uludag.edu.tr

                Enes Kurtuluş received his Bachelor's degree in Mechanical Engineering from Bursa Uludağ University, in 2009, and his Master's degree in Mechanical Engineering from Bursa Technical University in 2015.

                Dr. Ali Rıza Yıldız is a Professor in the Department of Automotive Engineering, Bursa Uludağ University, Bursa, Turkey. His research interests are the finite element analysis of automobile components, lightweight design, composite materials, vehicle design, vehicle crashworthiness, shape and topology optimization of vehicle components, meta-heuristic optimization techniques, and sheet metal forming. He has been serving as an Associate Editor for the Journal of Expert Systems, Wiley.

                Dr. Sadiq M. Sait received his Bachelor's degree in Electronics Engineering from Bangalore University, India, in 1981, and his Master's and Ph.D. degrees in Electrical Engineering from the King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, in 1983 and 1987, respectively. He is currently a Professor of Computer Engineering and Director of the Center for Communications and IT Research, KFUPM, Dhahran, Saudi Arabia. He is a Senior Member of the IEEE. In 1981, he received the Best Electronic Engineer Award from the Indian Institute of Electrical Engineers, Bengaluru.

                Dr. Sujin Bureerat received his BEng degree in Mechanical Engineering from Khon Kaen University, Khon Kaen, Thailand, in 1992, and his PhD degree in Engineering from Manchester University, Manchester, UK, in 2001. Currently, he is a Professor in the Department of Mechanical Engineering, Khon Kaen University. His research interests include multidisciplinary design optimization, evolutionary computation, aircraft design, finite-element analysis, agricultural machinery, mechanism synthesis, and mechanical vibration.

                © 2020, Carl Hanser Verlag, München
                Page count
                References: 94, Pages: 10
                Fachbeiträge/Technical Contributions

                Materials technology,Materials characterization,Materials science
                Materials technology, Materials characterization, Materials science


                Comment on this article