Advances in Decision Making, Control, and Optimization
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E2: Control Theory and Mechanics".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 1060
Special Issue Editor
Special Issue Information
Dear Colleagues,
Decision-Making, Control, and Optimization (DEMACO) play a vital role in enhancing efficiency, performance, and effectiveness, and their applications can therefore be found in many areas and disciplines such as robotic and autonomous systems, transportation and logistics, healthcare, finance and economics, energy and power systems, and information technology. With various exciting and challenging research topics, this Special Issue aims to bring together the latest research advancements in DEMACO. Specifically, we would like to gather cutting-edge research that addresses the latest theoretical, methodological, and applied advancements in these critical areas. We invite original, high-quality contributions that explore innovative models and concepts, algorithms, and impactful real-world applications in decision-making processes, control systems and theory, and numerical optimization techniques. Particularly, interdisciplinary research that bridges gaps between theory and practice is highly welcomed. We look forward to your contributions to this exciting collection of works that will inspire new advancements in DEMACO. Topics of interest include but are not limited to the following:
- Dynamic programming and reinforcement learning;
- Robust, adaptive, and uncertainty-aware decision-making and control;
- Machine learning and artificial intelligence in decision-making;
- Learning to optimize, including combinational and nonconvex optimization;
- Large-scale optimization;
- Differentiable optimization, including nonconvex and bilevel;
- Learning-based control;
- Ensemble control with fast adaptation;
- DEMACO with humans in the loop;
- Safety-critical decision-making and control;
- Casual decision-making;
- Multiagent systems;
- Applications.
Dr. Chuangchuang Sun
Guest Editor
Manuscript Submission Information
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Keywords
- dynamic programming and reinforcement learning
- robust, adaptive, and uncertainty-aware decision-making and control
- machine learning and artificial intelligence in decision-making
- learning to optimize, including combinational and nonconvex optimization
- large-scale optimization
- differentiable optimization, including nonconvex and bilevel
- learning-based control
- ensemble control with fast adaptation
- DEMACO with humans in the loop
- safety-critical decision-making and control
- casual decision-making
- multiagent systems
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