http://lzteddy.com/tags/evolutionary-algorithm/Recent content in Evolutionary Algorithm on Zitao LiaoHugo -- gohugo.ioen-usSun, 19 Apr 2026 00:00:00 +0000http://lzteddy.com/p/research-experience/Sun, 19 Apr 2026 00:00:00 +0000http://lzteddy.com/p/research-experience/<h2 id="competition-on-llm-designed-ea-gecco">Competition on LLM Designed EA, GECCO </h2><p><strong>Time:</strong> Mar 2026</p> <ul> <li>Collaborated in a team to design adaptive multi-operator evolutionary algorithms using the LLM4AD platform and Evolution of Heuristics (EoH).</li> <li>Designed a module based on the Multi-Armed Bandit (MAB) algorithm for adaptive operator selection during optimization.</li> <li>Achieved optimal results on <strong>17/24</strong> GNBG benchmark problems.</li> </ul> <h2 id="research-on-combinatorial-optimization-methods-based-on-deep-learning-and-development-of-the-easyco-platform">Research on Combinatorial Optimization Methods Based on Deep Learning and Development of the EasyCO Platform </h2><p><strong>Time:</strong> Sep 2025 - Present</p> <ul> <li>Explored graph neural network based data representations and feature learning mechanisms integrated with reinforcement learning frameworks (for example REINFORCE).</li> <li>Contributed to the open-source EasyCO platform for building general-purpose efficient solvers for industrial applications.</li> </ul> <h2 id="autonomous-driving-video-annotation-system-based-on-videollama2">Autonomous Driving Video Annotation System Based on VideoLLaMA2 </h2><p><strong>Time:</strong> Apr 2025 - Jun 2025</p> <ul> <li>Designed English prompts focused on key driving elements to generate descriptions centered on ego-vehicle behavior and interactions with preceding vehicles.</li> <li>Fine-tuned the model to optimize accuracy.</li> </ul>