Yingwu Chen

ORCID: 0000-0003-1956-399X
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About
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Research Areas
  • Satellite Communication Systems
  • Optimization and Search Problems
  • Distributed and Parallel Computing Systems
  • Mobile Agent-Based Network Management
  • Metaheuristic Optimization Algorithms Research
  • Spacecraft Design and Technology
  • Scheduling and Optimization Algorithms
  • Advanced Decision-Making Techniques
  • Vehicle Routing Optimization Methods
  • Systems Engineering Methodologies and Applications
  • Technology Assessment and Management
  • Advanced Manufacturing and Logistics Optimization
  • Advanced Computational Techniques and Applications
  • Space Satellite Systems and Control
  • Industrial Technology and Control Systems
  • Military Defense Systems Analysis
  • Advanced Multi-Objective Optimization Algorithms
  • Simulation and Modeling Applications
  • Rough Sets and Fuzzy Logic
  • Software Reliability and Analysis Research
  • Advanced Algorithms and Applications
  • Evaluation and Optimization Models
  • Optimization and Packing Problems
  • Evolutionary Algorithms and Applications
  • Military Strategy and Technology

National University of Defense Technology
2015-2024

Henan University of Science and Technology
2008-2023

Defence Electronics Research Laboratory
2023

University of Southern California
2021

East China University of Science and Technology
2021

National University
2005-2011

Nanjing University of Finance and Economics
2011

Xiangtan University
2009-2010

Changsha University
2010

Qujing Normal University
2009

We investigate a general solution based on reinforcement learning for the agile satellite scheduling problem. The core idea of this method is to determine value function evaluating long-term benefit under certain state by training from experiences, and then apply guide decisions in unknown situations. First, process modeled as finite Markov decision with continuous space discrete action space. Two subproblems Earth observation problem, i.e., sequencing problem timing are solved part agent...

10.1109/tsmc.2020.3020732 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2020-09-18

The combat system-of-systems in high-tech informative warfare consists of different types systems connected via multiple interconnections, which can be abstracted as complex heterogeneous networks. Research on the functional robustness networks (HCNs) is significant military value for optimizing operation process planning and improving network survivability electromagnetic battle fields. This study presents an integrated framework, known HCN (HCNFR) framework to measure HCNs under various...

10.1109/jsyst.2018.2828779 article EN IEEE Systems Journal 2018-05-10

The basic concepts and models of weapon-target assignment (WTA) are introduced the mathematical nature WTA is also analyzed. A systematic survey research on problem provided. present focused algorithms. In WTA, static mainly studied dynamic not fully in deed. algorithms intelligent often used to solve problem. small scale problems has been solved very well, however, large effectively so far. Finally, characteristics analyzed directions for future discussed.

10.1016/s1004-4132(06)60097-2 article EN Journal of Systems Engineering and Electronics 2006-09-01

The capacitated arc routing problem (CARP) is representative of numerous practical applications, and in order to widen its scope, we consider an extended version this that entails both total service time fixed investment costs. We subsequently propose a hybrid ant colony optimization (ACO) algorithm (HACOA) solve instances the CARP. This approach characterized by exploitation heuristic information, adaptive parameters, local techniques: Two kinds cluster information priority are obtained...

10.1109/tsmcb.2011.2107899 article EN IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 2011-02-16

A novel executable modeling approach is proposed for system-of-systems architecture by taking full advantage of the Department Defense Architecture Framework (DoDAF) Meta-model (DM2) and defining common model transformation specification at metamodel level. This methodology provides more flexibility adaptability automated construction models directly from architectural data rather than static models. More specifically, first established to guide core elements associations in DM2 as...

10.1109/jsyst.2013.2270573 article EN IEEE Systems Journal 2013-07-22

A novel approach based on the graph model for conflict resolution (GMCR) methodology is proposed to address problem of multistakeholder system portfolio decision analysis encountered in architecting a systems (SoS) with desired capabilities. More specifically, flexible four-process framework capability-based SoS containing interactive promote design negotiations selections presented. By taking full advantage inherent realistic and GMCR paradigm, an designed facilitate systematic modeling...

10.1109/tsmc.2014.2309321 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2014-04-09
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