冯缨岚，博士，深圳大学人工智能学院助理教授。
邮箱：yinglfeng@szu.edu.cn
研究方向：计算智能、多目标优化、演化迁移优化、大模型优化智能体
冯缨岚博士2024年毕业于香港城市大学计算机科学系，师从Kay Chen Tan教授；2024-2025年于香港理工大学数据科学与人工智能学系从事博士后研究工作；2025年10月加入深圳大学人工智能学院。长期从事智能计算方向研究，聚焦多形式迁移优化的复杂多目标问题求解；已在IEEE TEVC，Swarm EC，以及其他国际期刊与会议发表论文10余篇；担任多个计算智能和机器学习领域国际权威期刊与会议审稿人包括TEVC、TCYB、CIM、TCDS、TETCI等。
代表性科研成果：
(1) Yinglan Feng; Liang Feng; Sam Kwong; Kay Chen Tan; A Multi-Form Evolutionary Search Paradigm for Bi-level Multi-Objective Optimization, IEEE Transactions on Evolutionary Computation, 2024, 28(6): 1719-1732 (期刊论文，中科院一区，IF=14.3)
(2) Yinglan Feng; Liang Feng; Sam Kwong; Kay Chen Tan; A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, 2022, 26(2): 248-262 (期刊论文，中科院一区，IF=14.3)
(3) Yinglan Feng; Liang Feng; Songbai Liu; Sam Kwong; Kay Chen Tan; Towards multiobjective high-dimensional feature selection via evolutionary multitasking, SWARM ANDEVOLUTIONARY COMPUTATION, 2024, 89: 101618 (期刊论文，中科院一区，IF=8.2)
(4) Yinglan Feng; Liang Feng; Xiaoming Xue; Sam Kwong; Kay Chen Tan; A Review on Evolutionary Multiform Transfer Optimization, 2024 IEEE Congress on Evolutionary Computation (CEC), Japan, 2024 (会议论文，EI收录)
(5) Yinglan Feng; Liang Feng; Yaqing Hou; Kay Chen Tan; Sam Kwong; EMT-ReMO: Evolutionary Multitasking for High-Dimensional Multi-Objective Optimization via Random Embedding, 2021 IEEE Congress on Evolutionary Computation (CEC), Poland, 2021 (会议论文，EI收录)
(6) Yinglan Feng; Liang Feng; Yaqing Hou; Kay Chen Tan; Large-Scale Optimization via Evolutionary Multitasking assisted Random Embedding, 2020 IEEE Congress on Evolutionary Computation (CEC), Glasgow, UK, 2020 (会议论文，EI收录)
(7) Lulu Cao; Yinglan Feng*; Min Jiang; Kay Chen Tan; NetGP: A Hybrid Framework Combining Genetic Programming and Deep Reinforcement Learning for PDE Solutions, 2025 IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China, 2025 (会议论文，EI收录)
(8) Xiaoming Xue; Liang Feng; Yinglan Feng; Rui Liu; Kai Zhang; Kay Chen Tan; A Theoretical Analysis of Analogy-Based Evolutionary Transfer Optimization, 2025 IEEE Congress on Evolutionary Computation (CEC), Hangzhou, China, 2025 (会议论文，EI收录，Best Paper Award)
主持或参与科研项目：
(1) 大学教育资助委员会(香港), Collective Research Fund, C5052-23G, Towards Next-generation Artificial Auditory System with Brain-inspired Technologies, 2024-09 至 2027-09, 643万元, 在研, 参与
(2) 大学教育资助委员会(香港), General Research Fund, 15215623, Towards Lightweight Optimization for Complex Problems, 2024-01 至 2026-12, 93.1万元, 在研, 参与
(3) 大学教育资助委员会(香港), General Research Fund, 15218622, Advancing Multi-task Designs for Large-scale Multi-objective Optimization, 2023-01 至 2025-12, 121万元, 在研, 参与
(4) 国家自然科学基金项目, U21A20512, Theory and Methods of Evolutionary Computation for Intelligent Logistics, 2022-01 至 2025-12, 91万元, 在研, 参与
