Development of chaotic krill herd optimization method and optimization of suspension part

There are various optimization methods developed to solve the optimization problems we encounter in all areas of life. However, the use of optimization methods in the automotive industry and their inclusion in new vehicle development processes are becoming more and more critical in the competitive industry. For this reason, it is essential for automotive and other industries to increase the performance of current optimization methods and to reach the closest global optimum in a shorter time and using fewer resources. In this study, the chaotic krill herd optimization method, a semi-heuristic algorithm in the literature, is studied. The chaotic krill herd method is a hybrid version of the existing krill herd optimization method combined with chaos theory to increase the effectiveness. As a result, the novel method discovers the global optimum more efficiently and does not get stuck in local minima. The new algorithm's performance, which is more potent by adding different chaotic behaviors to the existing krill herd method in the literature, has been tested with the benchmark functions. Even in these compelling functions with quite a large number of local optima, the performance of the developed algorithm has been proven by obtaining the results closest to the global optimum in front of the other tested algorithms. The developed method was used in shape optimization of rubber bushings used as vibration absorbers in vehicles. The stiffness of the rubber bushes, which are widely used in automotive, varies according to the place of use. For this reason, a target of the bushing design is to provide the desired stiffness by remaining in the desired dimensions. According to the results obtained from the parametrically created finite element model, the most suitable design variables for the objective function were obtained. When the design obtained by the new method developed is compared with the other well-known algorithm in the literature, it has been observed that it is more successful in terms of desired goals.