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The task of control theory is to study the mathematical quantification of these two basic problems and then to deduce applied mathematical methods whereby a concrete answer to optimization can be obtained.
This simple cycle is the basic step in the GA because repeating this procedure and according to supposed criteria, the best answer for optimization problem would be derived.
Answering this optimization requires a scientific approach of chemical engineering defined as the triplet "molecular processes-product-process engineering" [2].
Unlike single-objective optimization, answer to these questions is not a single point.
On the other hand, in the last twenty years, a genetic algorithm GA) is attracted as one method which gives us suitable answers for search, optimization and machine learning problems.
On the other hand, in the last twenty years, GA is attracted as one method which gives us optimal answers for global search, optimization and machine learning problems.
An additional question we will answer is: does an optimization type affect the similarity scores?
Final solution in MOGA optimization is a set of correct answers.
Many questions remain to be answered regarding the safety, optimization, and mechanism underlying gene therapy, which is also more invasive and currently less accepted than LIPUS or LED.
Topology optimization provides an answer to the question how to distribute the available material in a design domain.
Then keyword optimization is the answer.
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