基于NSGA-II算法解决多目标优化实际应用的研究

Research on the Practical Application of NSGA-II Algorithm for Multi-Objective Optimization

摘要: 优化问题是工业生产中十分常见的一类问题，但在具体的实际应用中，单目标优化往往无法满足实际的需求。工厂需要在保证利润的前提下降低自己的成本，如能耗、人工、生产时间等。此时单目标优化无法较好地给出需要的可行解，采用多目标优化能较为简单地解决此类问题。NSGA-II算法在解决此类问题时具有较好的可行性，本文主要介绍NSGA-II算法的发展与原理，并以模拟工业生产的实际情况给出了简单的应用案例。

Abstract: Optimization problems are common in industrial production, but in specific practical applications, single-objective optimization often fails to meet the actual requirements. Factories need to reduce their costs, such as energy consumption, labor, and production time, while ensuring profitability. In such cases, single-objective optimization cannot provide satisfactory feasible solutions, and mul-ti-objective optimization can effectively address these problems. The NSGA-II algorithm demon-strates good feasibility in solving such problems. This paper primarily introduces the development and principles of the NSGA-II algorithm and provides a simple application case based on simulated industrial production scenarios.