Key points are not available for this paper at this time.
The application of a genetic algorithm to the steady state optimization of a serial liquid pipeline is considered. Genetic algorithms are search procedures based upon the mechanics of natural genetics, combining a Darwinian survival‐of‐the‐fittest philosophy with a random yet structured information exchange among a population of artificial chromosomes. Computer results show surprising speed as near‐optimal results are obtained after examining a small fraction of the search space. The method is ready for application to more difficult optimization problems in civil engineering.
Goldberg et al. (Wed,) studied this question.