GA Performance in Parametric Selection of Bridge Restoration Robot

This paper is a follow-up to the last year's ISARC paper of mine and presents the process and the results of verifying the previously described concept (of using GA as optimisation method in parametric design of robots) using the customised Fortran GA driver. The adaptive search technique, known as the Genetic Algorithm (GA) , is a powerful optimisation tool, and has been successfully applied to the preliminary and detailed engineering design. Here, we describe the results of using GA technique for optimising construction robot's kinematic parameters. The problem is investigated on an example leading to the development of an automated device to be used in restoration of steel bridges. This process is selected for robotisation due to its high health hazard when done conventionally, and because of its environmental impact. The discussion on effectiveness of the approach and GA performance conclude the paper.