Optimization System Design of Building Internal Structure Based on Multi-Objective Evolutionary Algorithm

With the rapid development of China's construction industry, there are inevitably many problems in the construction process, such as unreasonable internal structure and incomplete equipment. In order to solve these problems, it is also proposed to better promote social and economic benefits and the improvement of people's living standards. This paper takes large capacity computer as the main research object to solve the optimization engineering design and calculation analysis of multi-objective evolutionary algorithm. The main content of the research is to realize the optimization of the internal structure of construction enterprises based on multi-objective evolutionary algorithm technology, maximize the efficiency in construction engineering by using genetic algorithm, and establish a mathematical model combining particle swarm intelligence theory. Finally, the model is tested. The test results show that the interior structure optimization system based on multi-objective evolutionary algorithm has short running time, low delay time and high compatibility rate. This shows that the performance of the system is excellent and meets the user's requirements.