Abstract
In the steady development of modern science and technology, based on the requirements of innovation in the field of technology, researchers put forward an algorithm using mimicry physics optimization to solve multi-objective optimization problems in practice. It not only plays a positive role in the application, but also further expands the research ideas of technology discussion. Combined with the main characteristics of multi-objective optimization problems, the basic idea of aggregation function method is learned, and the Pareto optimal solution set of multi-objective optimization problems is scientifically collected by mimicry physics optimization algorithm, and the inertia weight and gravity factor are adjusted continuously, so as to improve the diversity of non-cracking. The final results show that the filter mimicry physics optimization algorithm is effective in multi-objective optimization problems, and has strong exploration value in practical technical exploration.
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