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2024-12-18 16:54:04（已编辑）
With rapid advancements in data science and artificial intelligence, multimodal data-driven optimization, including evolutionary optimization, swarm optimization and neural optimization, is becoming increasingly critical across a wide range of applications. So far, most data-driven optimization algorithms can make use of numerical data only, while in the real world, many other modalities of data are available. By integrating diverse data types — such as text, images, audio, and structured data, we expect that we can significantly improve the optimization performance in the presence of data paucity.
Additionally, the emergence of Large Language Models (LLMs) and diffusion optimization techniques offers new opportunities to further enhance these methodologies. This workshop aims to bring together researchers, practitioners, and industry experts to explore the latest developments, challenges, and applications in multimodal data-driven optimization, with a particular focus on graph neural networks, diffusion models and large language models, and the integration of these techniques with evolutionary and swarm optimization algorithms.
Topics include but are not limited to
Multimodal Data-Driven Optimization Algorithms and Frameworks
Evolutionary and Swarm Optimization with Multimodal Data
Neural Combinatorial Optimization with Multimodal Data
Large Language Models (LLMs) / Diffusion Models for Optimization
Federated Learning Optimization in Multimodal Contexts
Reinforcement Learning Approaches in Multimodal Optimization
Transfer Learning and Domain Adaptation in Multimodal Optimization
Causal Inference and Reasoning in Multimodal Optimization
Explainable AI and Interpretability in Multimodal Optimization Models
Benchmarking and Evaluation Metrics for Multimodal Optimization Methods
Real-World Applications of Multimodal Optimization in Medicine, Finance, Manufacturing, Robotics, ect.
Please follow the IEEE CEC 2025 Submission Website to prepare and submit the paper (https://www.cec2025.org/index/page.html?id=1298).
Workshop&Special session papers are treated the same as regular conference papers. All papers accepted and presented at IEEE WCCI/CEC 2025 will be included in the conference proceedings published by IEEE Explore.
Important Dates
Assoc. Prof. Xueming Yan
School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China,
Email: yanxm@gdufs.edu.cn
Dr. Qiqi Liu
School of Engineering, Westlake University, Hangzhou, China,
Email: liuqiqi@westlake.edu.cn
Asst. Prof. Lifang He
Department of Computer Science and Engineering, Lehigh University, USA,
Email: lih319@lehigh.edu
Prof. Yaochu Jin
School of Engineering, Westlake University, Hangzhou, China,
Email: jinyaochu@westlake.edu.cn
