A DNA procedure for solving the shortest path problem. - Zhaocai Wang; Dongmei Xiao; Wenxia Li; Lin He 007 (Appl. Math. Comput., 2006)

Solving traveling salesman problem in the Adleman-Lipton model. - Zhaocai Wang; Yiming Zhang; Weihua Zhou; Haifeng Liu (Appl. Math. Comput., 2012)

A new fast algorithm for solving the minimum spanning tree problem based on DNA molecules computation. - Zhaocai Wang; Dongmei Huang; Huajun Meng; Chengpei Tang (Biosyst., 2013)

A biological algorithm to solve the assignment problem based on DNA molecules computation. - Zhaocai Wang; Jian Tan; Dongmei Huang; Yingchao Ren; Zuwen Ji (Appl. Math. Comput., 2014)

A parallel algorithm for solving the n-queens problem based on inspired computational model. - Zhaocai Wang; Dongmei Huang; Jian Tan; Taigang Liu; Kai Zhao; Lei Li (Biosyst., 2015)

A new parallel DNA algorithm to solve the task scheduling problem based on inspired computational model. - Zhaocai Wang; Zuwen Ji; Xiaoming Wang; Tunhua Wu; Wei Huang (Biosyst., 2017)

Solving the 0-1 knapsack problem based on a parallel intelligent molecular computing model system. - Zuwen Ji; Zhaocai Wang; Tunhua Wu; Wei Huang (J. Intell. Fuzzy Syst., 2017)

A novel bio-heuristic computing algorithm to solve the capacitated vehicle routing problem based on Adleman-Lipton model. - Zhaocai Wang; Xiaomin Ren; Zuwen Ji; Wei Huang; Tunhua Wu (Biosyst., 2019)

A Parallel Bioinspired Algorithm for Chinese Postman Problem Based on Molecular Computing. - Zhaocai Wang; Xiaoguang Bao; Tunhua Wu (Comput. Intell. Neurosci., 2021)

Parallel DNA Algorithms of Generalized Traveling Salesman Problem-Based Bioinspired Computing Model. - Xiaomin Ren; Xiaoming Wang; Zhaocai Wang; Tunhua Wu (Int. J. Comput. Intell. Syst., 2021)

A parallel biological computing algorithm to solve the vertex coloring problem with polynomial time complexity. - Zhaocai Wang; Dangwei Wang; Xiaoguang Bao; Tunhua Wu (J. Intell. Fuzzy Syst., 2021)

A parallel algorithm to solve the multiple travelling salesmen problem based on molecular computing model. - Zhaocai Wang; Anjun Deng; Dangwei Wang; Tunhua Wu (Int. J. Bio Inspired Comput., 2022)

Multi-objective optimal allocation of regional water resources based on slime mould algorithm. - Xian Wu; Zhaocai Wang (J. Supercomput., 2022)

Quantum speedup for solving the minimum vertex cover problem based on Grover search algorithm. - Zhaocai Wang; Kun Liang; Xiaoguang Bao; Tunhua Wu (Quantum Inf. Process., 2023)

A multi-source data-driven model of lake water level based on variational modal decomposition and external factors with optimized bi-directional long short-term memory neural network. - Rui Tan; Yuan Hu; Zhaocai Wang (Environ. Model. Softw., 2023)

A secondary modal decomposition ensemble deep learning model for groundwater level prediction using multi-data. - Xuefei Cui; Zhaocai Wang; Nannan Xu; Junhao Wu; Zhiyuan Yao (Environ. Model. Softw., 2024)

Spatio-temporal deep learning model for accurate streamflow prediction with multi-source data fusion. - Zhaocai Wang; Nannan Xu; Xiaoguang Bao; Junhao Wu; Xuefei Cui (Environ. Model. Softw., 2024)

Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method. - Zhaocai Wang; Haifeng Zhao; Xiaoguang Bao; Tunhua Wu (Earth Sci. Informatics, 2024)

Improving the prediction of streamflow in large watersheds based on seasonal trend decomposition and vectorized deep learning models. - Ningchang Kang; Zhaocai Wang; Anbin Zhang; Hang Chen (Ecol. Informatics, 2025)

Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors. - Baoli Wang; Zhaocai Wang; Zhiyuan Yao (Expert Syst. Appl., 2025)