Genetic Method Of Optimization Design And Its Application In Retaining Systems Of Deep Foundation Pits In City

Since having a complicated structure and including somany factors and uncertain relationship between factors, theproblem of parameter optimization design for retaining systemsof deep foundation pit in city has puzzled people verydeeply. In recent years, researchers have been trying to find anew way to resolve the problem. They have had some researchon it, but the optimization design result is not satisfying. Afterthe introduce of genetic optimization method, the research inthis field is becoming active.Genetic optimization design is a designing method whichsimulates the species evolutionary process from origin toadvanced. Its aspect is based on the law of nature, that is"survival of the fittest, extinction of the unfitness". Supportingby Many facts, the method is very available for resolving theoptimization problem of having many parameters and illstructure design. In my research, we had finished the followingtasks. First of all, after the research for the genetic algorithm,we had provided the co-evolutionary model of the problemspace and solution space. The second, basing on the research onthe retaining systems of deep foundation pits in city, we foundmost of the optimization parameters and their relationship, thethird, combined with the co-evolutionary model, we hadoffered the mathematical model and designed co-evolutionary2algorithm for the system, Furthermore, we had also offered thecorrelative technologies for its accomplishment. finally, we hadaccomplished the aPplication system of a simplified retainingsystem of deep foundation pits--"pile+anchor" supportingsystem. We draw evolution curve according to the samplingdata, from this we can say that we had got satisfying result.At last, comparing genetic optimization method withanother optimization methods, we have drawn a conclusion thatgenetic algorithm have a great advantage in resolvingoptimization problem with a large quantity of parameters.