Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
Topology Optimization in Engineering
Abstract
This paper introduces Geometric Topology Optimization Algorithms (GTOA) – a novel approach that integrates deep learning with topology optimization to accelerate complex structural simulations and design. We propose a novel "拓扑感知" algorithm utilizing Generative Adversarial Networks (GANs) to learn the geometric structure of target shapes and combine it with reinforcement learning to automatically generate optimization paths. The core mechanism lies in automating the exploration process, overcoming the limitations of traditional methods. The paper details the algorithm's architecture, training process, and validation results, demonstrating its potential for efficient and intelligent geometric structure design. The new algorithm promises to significantly reduce design time and improve the accuracy of optimized structures.
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