智能算法在结构优化中的应用

Application of Intelligent Algorithms in Structural Optimization

摘要: 随着科技的进展，传统的结构优化设计已经越来越难满足广大结构优化设计师的需求，优化所需的计算时间长、成本大等问题逐渐凸显出来。伴随着科学技术的发展，计算机的兴起使得计算能力大大提高，同时越来越多的智能算法也逐渐被提出并实现，如遗传算法、利群算法、神经网络算法等，智能算法也逐渐被不断改进被用于结构优化设计领域。本文主要介绍了智能算法在结构优化中的具体应用，如遗传算法、粒子群算法和神经网络算法在形状优化、尺寸优化和拓扑优化中的应用，体现了智能算法全局寻优能力强、适应性强、计算效率高和易于理解和编程的优点；将智能算法应用在结构优化中，也显著提高了结构的性能和可持续性；并介绍了智能算法在结构优化领域广泛的应用前景和重要的价值。

Abstract: With technological advancements, traditional structural optimization design has become increasingly difficult to meet the needs of a wide range of structural optimization designers. Issues such as long computation times and high costs associated with optimization have gradually emerged. Along with the development of science and technology, the rise of computers has greatly improved computational capabilities. Meanwhile, an increasing number of intelligent algorithms have been proposed and implemented, such as genetic algorithms, particle swarm optimization (PSO), neural network algorithms, and others. These intelligent algorithms have undergone continuous improvements and are being applied to the field of structural optimization design. This paper primarily introduces the specific applications of intelligent algorithms in structural optimization, including the utilization of genetic algorithms, particle swarm algorithms, and neural network algorithms in shape optimization, size optimization, and topology optimization. It highlights the advantages of intelligent algorithms, such as strong global optimization capabilities, high adaptability, efficient computation, and ease of understanding and programming. The application of intelligent algorithms in structural optimization has significantly improved the performance and sustainability of structures. Furthermore, the paper introduces the broad application prospects and significant value of intelligent algorithms in the field of structural optimization.