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Min Kong
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Journal Articles
- 2024
- [j29]Min Kong, Peng Wu, Yajing Zhang, Weizhong Wang, Muhammet Deveci, Seifedine Nimer Kadry:
Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field. Artif. Intell. Rev. 57(3): 60 (2024) - [j28]Shaojun Lu
, Yongqi Wang, Min Kong, Weizhong Wang, Weimin Tan, Yingxin Song:
A Double Deep Q-Network framework for a flexible job shop scheduling problem with dynamic job arrivals and urgent job insertions. Eng. Appl. Artif. Intell. 133: 108487 (2024) - [j27]Min Kong, Weizhong Wang, Muhammet Deveci, Yajing Zhang, Xuzhong Wu, D'Maris Coffman:
A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in semiconductor manufacturing. Int. J. Prod. Res. 62(18): 6449-6472 (2024) - [j26]Min Kong, Yajing Zhang, Jin Xu
, Weizhong Wang, Shaojun Lu, Amir M. Fathollahi Fard:
A green scheduling model for two-stage photo-etching and acid-etching collaboration in semiconductor manufacturing. J. Ind. Inf. Integr. 41: 100655 (2024) - [j25]Jinzhong Zhang
, Gang Zhang, Min Kong, Tan Zhang:
SCGJO: A hybrid golden jackal optimization with a sine cosine algorithm for tackling multilevel thresholding image segmentation. Multim. Tools Appl. 83(3): 7681-7719 (2024) - 2023
- [j24]Chaoming Hu, Shaojun Lu
, Min Kong, Xinbao Liu, Panos M. Pardalos:
Parallel machine scheduling with linearly increasing energy consumption cost. Ann. Math. Artif. Intell. 91(2-3): 239-258 (2023) - [j23]Jinzhong Zhang, Min Kong, Gang Zhang, Yourui Huang:
Weapon-Target Assignment Using a Whale Optimization Algorithm. Int. J. Comput. Intell. Syst. 16(1): 62 (2023) - [j22]Jun Pei, Haoxin Wang, Min Kong, Nenad Mladenovic, Panos M. Pardalos:
Bi-level scheduling in high-end equipment R&D: when more algorithm strategies may not be better. Int. J. Prod. Res. 61(16): 5436-5467 (2023) - [j21]Jinzhong Zhang
, Gang Zhang, Min Kong, Tan Zhang, Duansong Wang
, Rui Chen:
CWOA: A novel complex-valued encoding whale optimization algorithm. Math. Comput. Simul. 207: 151-188 (2023) - [j20]Jinzhong Zhang
, Tan Zhang, Gang Zhang, Min Kong:
Parameter optimization of PID controller based on an enhanced whale optimization algorithm for AVR system. Oper. Res. 23(3): 44 (2023) - [j19]Jinzhong Zhang, Gang Zhang, Min Kong, Tan Zhang:
Adaptive infinite impulse response system identification using an enhanced golden jackal optimization. J. Supercomput. 79(10): 10823-10848 (2023) - 2022
- [j18]Jinzhong Zhang
, Gang Zhang, Yourui Huang
, Min Kong:
A Novel Enhanced Arithmetic Optimization Algorithm for Global Optimization. IEEE Access 10: 75040-75062 (2022) - [j17]Shaojun Lu, Chongyao Ma, Min Kong, Zhiping Zhou, Xinbao Liu:
Solving a stochastic hierarchical scheduling problem by VNS-based metaheuristic with locally assisted algorithms. Appl. Soft Comput. 130: 109719 (2022) - [j16]Yourui Huang, Gang Zhang, Min Kong, Fugui He:
New timestamp mark-based energy efficient time synchronization method for wireless sensor networks. Int. J. Distributed Sens. Networks 18(11): 155013292211355 (2022) - [j15]Min Kong, Jing Zhou, Jun Pei, Xinbao Liu, Panos M. Pardalos:
A modified variable neighborhood search algorithm for manufacturer selection and order acceptance in distributed virtual manufacturing network. Optim. Lett. 16(1): 117-135 (2022) - [j14]Shaojun Lu
, Min Kong, Zhiping Zhou, Xinbao Liu, Siwen Liu:
A hybrid metaheuristic for a semiconductor production scheduling problem with deterioration effect and resource constraints. Oper. Res. 22(5): 5405-5440 (2022) - 2021
- [j13]Chaoming Hu, Min Kong, Jun Pei, Xinbao Liu, Panos M. Pardalos:
Integrated inventory and production policy for manufacturing with perishable raw materials. Ann. Math. Artif. Intell. 89(8-9): 777-797 (2021) - [j12]Min Kong, Jin Xu
, Tinglong Zhang, Shaojun Lu, Chang Fang, Nenad Mladenovic:
Energy-efficient rescheduling with time-of-use energy cost: Application of variable neighborhood search algorithm. Comput. Ind. Eng. 156: 107286 (2021) - [j11]Fengfan Wang, Jia Yu, Zhijie Liu, Min Kong, Yunfan Wu:
Study on offshore seabed sediment classification based on particle size parameters using XGBoost algorithm. Comput. Geosci. 149: 104713 (2021) - 2020
- [j10]Min Kong, Xinbao Liu, Jun Pei, Hao Cheng, Panos M. Pardalos:
A BRKGA-DE algorithm for parallel-batching scheduling with deterioration and learning effects on parallel machines under preventive maintenance consideration. Ann. Math. Artif. Intell. 88(1-3): 237-267 (2020) - [j9]Min Kong, Jun Pei
, Jin Xu, Xinbao Liu, Xiaoyu Yu, Panos M. Pardalos:
A robust optimization approach for integrated steel production and batch delivery scheduling with uncertain rolling times and deterioration effect. Int. J. Prod. Res. 58(17): 5132-5154 (2020) - [j8]Min Kong, Xinbao Liu, Jun Pei, Panos M. Pardalos, Nenad Mladenovic
:
Parallel-batching scheduling with nonlinear processing times on a single and unrelated parallel machines. J. Glob. Optim. 78(4): 693-715 (2020) - [j7]Min Kong, Xinbao Liu, Jun Pei, Zhiping Zhou, Panos M. Pardalos:
Parallel-batching scheduling of deteriorating jobs with non-identical sizes and rejection on a single machine. Optim. Lett. 14(4): 857-871 (2020) - 2019
- [j6]Jun Pei
, Bayi Cheng, Xinbao Liu, Panos M. Pardalos, Min Kong:
Single-machine and parallel-machine serial-batching scheduling problems with position-based learning effect and linear setup time. Ann. Oper. Res. 272(1-2): 217-241 (2019) - 2018
- [j5]Wenjuan Fan, Jun Pei, Xinbao Liu, Panos M. Pardalos, Min Kong:
Serial-batching group scheduling with release times and the combined effects of deterioration and truncated job-dependent learning. J. Glob. Optim. 71(1): 147-163 (2018) - 2016
- [j4]Wenjuan Fan, Jun Pei, Shuai Ding, Panos M. Pardalos, Min Kong, Shanlin Yang:
A Novel Trust Inference Framework for Web-Based Scenarios Harnessed by Social Network and Web of Trust - a Heuristic Approach. Informatica 27(2): 405-432 (2016) - 2008
- [j3]Min Kong, Peng Tian, Yucheng Kao:
A new ant colony optimization algorithm for the multidimensional Knapsack problem. Comput. Oper. Res. 35(8): 2672-2683 (2008) - 2007
- [j2]Daqi Zhu, Min Kong:
Adaptive fault-tolerant control of non-linear systems: an improved CMAC-based fault learning approach. Int. J. Control 80(10): 1576-1594 (2007) - [j1]Sibao Chen, Haifeng Zhao, Min Kong, Bin Luo
:
2D-LPP: A two-dimensional extension of locality preserving projections. Neurocomputing 70(4-6): 912-921 (2007)
Conference and Workshop Papers
- 2017
- [c12]Chunfeng Ma, Min Kong, Jun Pei, Panos M. Pardalos:
BRKGA-VNS for Parallel-Batching Scheduling on a Single Machine with Step-Deteriorating Jobs and Release Times. MOD 2017: 414-425 - 2008
- [c11]MaoSheng Fu, DaMing Zhang, Min Kong, Bin Luo:
Time-Embedding 2D Locality Preserving Projection for Video Summarization. CW 2008: 131-135 - 2006
- [c10]Min Kong, Peng Tian:
A Direct Application of Ant Colony Optimization to Function Optimization Problem in Continuous Domain. ANTS Workshop 2006: 324-331 - [c9]Min Kong, Peng Tian:
Introducing a Binary Ant Colony Optimization. ANTS Workshop 2006: 444-451 - [c8]Min Kong, Peng Tian:
Apply the Particle Swarm Optimization to the Multidimensional Knapsack Problem. ICAISC 2006: 1140-1149 - [c7]Min Kong, Peng Tian:
Application of ACO in Continuous Domain. ICNC (2) 2006: 126-135 - [c6]Min Kong, Peng Tian:
A New Ant Colony Optimization Applied for the Multidimensional Knapsack Problem. SEAL 2006: 142-149 - 2005
- [c5]Xiangyong Li, Peng Tian, Min Kong:
A Novel Particle Swarm Optimization for Constrained Optimization Problems. Australian Conference on Artificial Intelligence 2005: 1305-1310 - [c4]Min Kong, Peng Tian:
A Binary Ant Colony Optimization for the Unconstrained Function Optimization Problem. CIS (1) 2005: 682-687 - [c3]Sibao Chen, Min Kong, Bin Luo:
Image Recognition with LPP Mixtures. CIS (1) 2005: 1003-1008 - [c2]Min Kong, Peng Tian:
A Convergence Proof for the Ant Colony Optimization Algorithms. IC-AI 2005: 118-121 - [c1]Daqi Zhu, Min Kong, YonQing Yang:
The Improved CMAC Model and Learning Result Analysis. ICNC (1) 2005: 15-24
Coauthor Index
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