Optimization of concrete structure mixture plan in marine environment using genetic algorithm

Today due to increasing development and importance of petroleum activities andmarine transport as well as due to the mining of seabed, building activities such as construction of docks, platforms and structures as those in coastal areas and oceans has increased significantly. Concrete strength as one of the most important necessary parameters for designing, depends on many factors such as mixture plan ofconcrete, concrete forming materials, and curing conditions. Since many of these factors are uncertain and cannot have a specific and accurate formulation for concrete strength, therefore, applying a pre-set mathematical formula roughly predicts the strength of concrete. Inthis research,Genetic algorithm optimization for concrete mix plan is presented. Genetic algorithms are searching algorithms that have been established based on mechanism of natural selection and evolution. These algorithms select the most appropriate strings from organized random data.In every generation, a new group of strings by using the best parts of previous and new accidental sequencewill happen to get a proper answer.First a suitable encoding (or representation) must be found for the problem. The most common representation method of chromosomes in genetic algorithms is in the form of binary strings which is the method used in this study. By iteratingthe computation of marine concrete generation, optimized mix concrete design is achieved.Accordingly, with more detailed information of marine-grade concrete and application of genetic algorithm based on generational leap it can be expected that a new generation of marine concrete will be recoverable.