Optimising engineering problems using genetic algorithms

Abstract

This paper deals with the optimisation of engineering problems using genetic algorithms. The process is discussed and the various stages of the genetic algorithm described. In conjunction with a finite element analysis program the process is then applied to a realistic problem of extraction of a pollutant from an aquifer. The genetic algorithm suggests sensible solutions for optimum extraction well positions and pumping rates to minimise the overall cost, based upon the results of a series of finite element analyses. The discontinuous nature of the problem is handled easily. The conclusions drawn are that a genetic algorithm optimiser, in conjunction with a finite element analysis program, generates solutions to engineering problems that are sensible and efficient.