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The problem with optimization was now reconfigured to a set of chromosomes which represent a century of designs with a special design for each chromosome. The AG encourages a “fittest survival” policy, which would eventually transfer chromosomes through generations before an optimum arrangement is found. This includes a chromosome recognizing or excluding process such that we monitor for the fitness to be included in the next generation of designs for the same chromosome. This is achieved by using a health function which is a metric of goodness common to all chromosome-based conception points with a separate meaning for each point. Why a penalty for a limitation violation is included in the exercise feature later is discussed.

Essentially, systems are designed to help design the next generation of chromosomes in the community and their well-being. To use the above example, the assessment approach is simple and better, but it can be pointed out that it reflects the mechanism of selection and that some might be used in business programs.