Search Results - "Su, Chupeng"

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  1. 1

    Extended residual learning with one-shot imitation learning for robotic assembly in semi-structured environment by Wang, Chuang, Su, Chupeng, Sun, Baozheng, Chen, Gang, Xie, Longhan

    Published in Frontiers in neurorobotics (29-04-2024)
    “…Robotic assembly tasks require precise manipulation and coordination, often necessitating advanced learning techniques to achieve efficient and effective…”
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    Journal Article
  2. 2

    High-dimensional expensive optimization by Kriging-assisted multiobjective evolutionary algorithm with dimensionality reduction by Yan, Zeyuan, Zhou, Yuren, He, Xiaoyu, Su, Chupeng, Wu, Weigang

    Published in Information sciences (01-02-2025)
    “…Surrogate-assisted multi-objective evolutionary algorithms (SA-MOEAs) have made significant progress in solving expensive multi- and many-objective…”
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    Journal Article
  3. 3

    Evolution strategies-based optimized graph reinforcement learning for solving dynamic job shop scheduling problem by Su, Chupeng, Zhang, Cong, Xia, Dan, Han, Baoan, Wang, Chuang, Chen, Gang, Xie, Longhan

    Published in Applied soft computing (01-09-2023)
    “…The job shop scheduling problem (JSSP) with dynamic events and uncertainty is a strongly NP-hard combinatorial optimization problem (COP) with extensive…”
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    Journal Article
  4. 4

    A dimensionality reduction assisted evolutionary algorithm for high-dimensional expensive multi/many-objective optimization by Yan, Zeyuan, Zhou, Yuren, Zheng, Wei, Su, Chupeng, Wu, Weigang

    Published in Swarm and evolutionary computation (01-12-2024)
    “…Surrogate-assisted multi/many-objective evolutionary algorithms (SA-MOEAs) have shown significant progress in tackling expensive optimization problems…”
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    Journal Article
  5. 5

    Task attention-based multimodal fusion and curriculum residual learning for context generalization in robotic assembly by Wang, Chuang, Lin, Ze, Liu, Biao, Su, Chupeng, Chen, Gang, Xie, Longhan

    “…In the domain of flexible manufacturing, Deep Reinforcement Learning (DRL) has emerged as a pivotal technology for robotic assembly tasks. Despite advancements…”
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    Journal Article
  6. 6

    Fast Pareto set approximation for multi-objective flexible job shop scheduling via parallel preference-conditioned graph reinforcement learning by Su, Chupeng, Zhang, Cong, Wang, Chuang, Cen, Weihong, Chen, Gang, Xie, Longhan

    Published in Swarm and evolutionary computation (01-07-2024)
    “…The Multi-Objective Flexible Job Shop Scheduling Problem (MOFJSP) is a complex challenge in manufacturing, requiring balancing multiple, often conflicting…”
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    Journal Article
  7. 7

    Deep Reinforcement Learning with Shaping Exploration Space for Robotic Assembly by Wang, Chuang, Lin, Chengqi, Liu, Biao, Su, Chupeng, Xu, Pengpeng, Xie, Longhan

    “…Assembly is an essential part of complex product manufacturing. Due to the complexity of assembly operations and rapidly changing market demands, it is a…”
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    Conference Proceeding