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Liang Gao

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Conference Aug 2026

A Self-Evolving Framework for Automated Constraint Programming Model Construction in Multi-Robot Task Allocation and Scheduling

Multi-robot task allocation and scheduling (MRTAS) in aerospace manufacturing is highly challenging due to the coupled physical, logical, and resource constraints inherent in complex sequential operations. Traditional exact algorithms face scalability limitations, whereas manual constraint programming (CP) modeling req...

Zheng-Qi Shi, Xin-Yu Li, Qi-Hao Liu et al. · 0 citations
2026

CoRe: A Collaborative and Reflective Language Model Framework for Flexible Job Shop Scheduling

Effective production scheduling is pivotal to intelligent manufacturing, where Mixed-Integer Linear Programming (MILP)-based exact methods remain attractive for their guarantee of global optimality. Nevertheless, their deployment is constrained by the specialized expertise required for model formulation, particularly i...

Ming-Ming Peng, Jie Yang, Jin Huang et al. · 0 citations
2026

Feedback-Driven Population Self-Evolution Framework for Dispatching Rule Generation in Dynamic Job Shop via Knowledge Distillation

The dynamic job shop scheduling problem (DJSSP) is critical for optimizing production efficiency in intelligent manufacturing systems under dynamic constraints. Traditional approaches, including heuristic dispatching rules (HDRs) and evolutionary hyper-heuristics, often struggle to generalize across dynamic and unseen...

Jin Huang, Zhengqi Shi, Qi-Hao Liu et al. · 0 citations

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