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Bo Liu
Researcher at Chinese Academy of Sciences
Publications - 87
Citations - 3246
Bo Liu is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Local search (optimization) & Optimization problem. The author has an hindex of 22, co-authored 84 publications receiving 2837 citations. Previous affiliations of Bo Liu include Beihang University & Tsinghua University.
Papers
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Journal ArticleDOI
Improved particle swarm optimization combined with chaos
TL;DR: Simulation results and comparisons with the standard PSO and several meta-heuristics show that the CPSO can effectively enhance the searching efficiency and greatly improve the searching quality.
Journal ArticleDOI
An Effective PSO-Based Memetic Algorithm for Flow Shop Scheduling
Bo Liu,Ling Wang,Yihui Jin +2 more
TL;DR: This paper proposes an effective particle swarm optimization (PSO)-based memetic algorithm (MA) for the permutation flow shop scheduling problem (PFSSP) with the objective to minimize the maximum completion time, which is a typical non-deterministic polynomial-time (NP) hard combinatorial optimization problem.
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Impact of Examined Lymph Node Count on Precise Staging and Long-Term Survival of Resected Non-Small-Cell Lung Cancer: A Population Study of the US SEER Database and a Chinese Multi-Institutional Registry.
Wenhua Liang,Jiaxi He,Yaxing Shen,Jianfei Shen,Qihua He,Jianrong Zhang,Gening Jiang,Qun Wang,Lunxu Liu,Shugeng Gao,Deruo Liu,Zheng Wang,Zhihua Zhu,Calvin S.H. Ng,Chia-Chuan Liu,René Horsleben Petersen,Gaetano Rocco,Thomas A. D'Amico,Alessandro Brunelli,Haiquan Chen,Xiuyi Zhi,Bo Liu,Yixin Yang,Wensen Chen,Qian Zhou,Jianxing He +25 more
TL;DR: A greater number of ELNs is associated with more-accurate node staging and better long-term survival of resected NSCLC and is recommended as the cut point for evaluating the quality of LN examination or prognostic stratification postoperatively for patients with declared node-negative disease.
Journal ArticleDOI
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers
Bo Liu,Ling Wang,Yihui Jin +2 more
TL;DR: An effective hybrid algorithm based on particle swarm optimization (HPSO) is proposed for permutation flow shop scheduling problem (PFSSP) with the limited buffers between consecutive machines to minimize the maximum completion time (i.e., makespan).
Journal ArticleDOI
Parameter estimation for chaotic systems by particle swarm optimization
Qie He,Ling Wang,Bo Liu +2 more
TL;DR: Numerical simulation and the comparisons demonstrate the effectiveness and robustness of PSO and the effect of population size on the optimization performances is investigated as well.