A self-guided differential evolution with neighborhood search for permutation flow shop scheduling. - Weishi Shao; Dechang Pi (Expert Syst. Appl., 2016)

A hybrid discrete optimization algorithm based on teaching-probabilistic learning mechanism for no-wait flow shop scheduling. - Weishi Shao; Dechang Pi; Zhongshi Shao (Knowl. Based Syst., 2016)

A hybrid iterated greedy algorithm for the distributed no-wait flow shop scheduling problem. - Weishi Shao; Dechang Pi; Zhongshi Shao (CEC, 2017)

Memetic algorithm with node and edge histogram for no-idle flow shop scheduling problem to minimize the makespan criterion. - Weishi Shao; Dechang Pi; Zhongshi Shao (Appl. Soft Comput., 2017)

An extended teaching-learning based optimization algorithm for solving no-wait flow shop scheduling problem. - Weishi Shao; Dechang Pi; Zhongshi Shao (Appl. Soft Comput., 2017)

Self-adaptive discrete invasive weed optimization for the blocking flow-shop scheduling problem to minimize total tardiness. - Zhongshi Shao; Dechang Pi; Weishi Shao (Comput. Ind. Eng., 2017)

Optimization of makespan for the distributed no-wait flow shop scheduling problem with iterated greedy algorithms. - Weishi Shao; Dechang Pi; Zhongshi Shao (Knowl. Based Syst., 2017)

A hybrid discrete teaching-learning based meta-heuristic for solving no-idle flow shop scheduling problem with total tardiness criterion. - Weishi Shao; Dechang Pi; Zhongshi Shao (Comput. Oper. Res., 2018)

A multi-objective discrete invasive weed optimization for multi-objective blocking flow-shop scheduling problem. - Zhongshi Shao; Dechang Pi; Weishi Shao (Expert Syst. Appl., 2018)

A novel discrete water wave optimization algorithm for blocking flow-shop scheduling problem with sequence-dependent setup times. - Zhongshi Shao; Dechang Pi; Weishi Shao (Swarm Evol. Comput., 2018)

An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem. - Zhongshi Shao; Dechang Pi; Weishi Shao; Peisen Yuan (Eng. Appl. Artif. Intell., 2019)

A novel multi-objective discrete water wave optimization for solving multi-objective blocking flow-shop scheduling problem. - Zhongshi Shao; Dechang Pi; Weishi Shao (Knowl. Based Syst., 2019)

Local Search Methods for a Distributed Assembly No-Idle Flow Shop Scheduling Problem. - Weishi Shao; Dechang Pi; Zhongshi Shao (IEEE Syst. J., 2019)

A Pareto-Based Estimation of Distribution Algorithm for Solving Multiobjective Distributed No-Wait Flow-Shop Scheduling Problem With Sequence-Dependent Setup Time. - Weishi Shao; Dechang Pi; Zhongshi Shao (IEEE Trans Autom. Sci. Eng., 2019)

Effective Constructive Heuristic and Metaheuristic for the Distributed Assembly Blocking Flow-shop Scheduling Problem. - Zhongshi Shao; Weishi Shao; Dechang Pi (Appl. Intell., 2020)

Hybrid enhanced discrete fruit fly optimization algorithm for scheduling blocking flow-shop in distributed environment. - Zhongshi Shao; Dechang Pi; Weishi Shao (Expert Syst. Appl., 2020)

Modeling and multi-neighborhood iterated greedy algorithm for distributed hybrid flow shop scheduling problem. - Weishi Shao; Zhongshi Shao; Dechang Pi (Knowl. Based Syst., 2020)

Effective heuristics and metaheuristics for the distributed fuzzy blocking flow-shop scheduling problem. - Zhongshi Shao; Weishi Shao; Dechang Pi (Swarm Evol. Comput., 2020)

Effective constructive heuristics for distributed no-wait flexible flow shop scheduling problem. - Weishi Shao; Zhongshi Shao; Dechang Pi (Comput. Oper. Res., 2021)

Multi-objective evolutionary algorithm based on multiple neighborhoods local search for multi-objective distributed hybrid flow shop scheduling problem. - Weishi Shao; Zhongshi Shao; Dechang Pi (Expert Syst. Appl., 2021)

Effective constructive heuristic and iterated greedy algorithm for distributed mixed blocking permutation flow-shop scheduling problem. - Zhongshi Shao; Weishi Shao; Dechang Pi (Knowl. Based Syst., 2021)

Multi-local search-based general variable neighborhood search for distributed flow shop scheduling in heterogeneous multi-factories. - Weishi Shao; Zhongshi Shao; Dechang Pi (Appl. Soft Comput., 2022)

A multi-neighborhood-based multi-objective memetic algorithm for the energy-efficient distributed flexible flow shop scheduling problem. - Weishi Shao; Zhongshi Shao; Dechang Pi (Neural Comput. Appl., 2022)

A network memetic algorithm for energy and labor-aware distributed heterogeneous hybrid flow shop scheduling problem. - Weishi Shao; Zhongshi Shao; Dechang Pi (Swarm Evol. Comput., 2022)

An Ant Colony Optimization Behavior-Based MOEA/D for Distributed Heterogeneous Hybrid Flow Shop Scheduling Problem Under Nonidentical Time-of-Use Electricity Tariffs. - Weishi Shao; Zhongshi Shao; Dechang Pi (IEEE Trans Autom. Sci. Eng., 2022)

Modelling and optimization of distributed heterogeneous hybrid flow shop lot-streaming scheduling problem. - Weishi Shao; Zhongshi Shao; Dechang Pi (Expert Syst. Appl., 2023)

LS-HH: A Learning-Based Selection Hyper-Heuristic for Distributed Heterogeneous Hybrid Blocking Flow-Shop Scheduling. - Zhongshi Shao; Weishi Shao; Dechang Pi (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer. - Shuizhen Xing; Zhongshi Shao; Weishi Shao; Jianrui Chen; Dechang Pi (Comput. Ind. Eng., 2024)

A feedback learning-based selection hyper-heuristic for distributed heterogeneous hybrid blocking flow-shop scheduling problem with flexible assembly and setup time. - Zhongshi Shao; Weishi Shao; Jianrui Chen; Dechang Pi (Eng. Appl. Artif. Intell., 2024)

MRLM: A meta-reinforcement learning-based metaheuristic for hybrid flow-shop scheduling problem with learning and forgetting effects. - Zeyu Zhang; Zhongshi Shao; Weishi Shao; Jianrui Chen; Dechang Pi (Swarm Evol. Comput., 2024)

Deep reinforcement learning driven trajectory-based meta-heuristic for distributed heterogeneous flexible job shop scheduling problem. - Qichen Zhang; Weishi Shao; Zhongshi Shao; Dechang Pi; Jiaquan Gao (Swarm Evol. Comput., 2024)

Lot Sizing and Scheduling Problem in Distributed Heterogeneous Hybrid Flow Shop and Learning-Driven Iterated Local Search Algorithm. - Weishi Shao; Zhongshi Shao; Dechang Pi (IEEE Trans Autom. Sci. Eng., 2024)

Graph-based reinforced multi-objective optimization for distributed heterogeneous flexible job shop scheduling problem under nonidentical time-of-use electricity tariffs. - Qichen Zhang; Weishi Shao; Zhongshi Shao; Dechang Pi (Expert Syst. Appl., 2025)

MQL-MM: A Meta-Q-Learning-Based Multiobjective Metaheuristic for Energy-Efficient Distributed Fuzzy Hybrid Blocking Flow-Shop Scheduling Problem. - Zhongshi Shao; Weishi Shao; Jianrui Chen; Dechang Pi (IEEE Trans. Evol. Comput., 2025)

Energy-Efficiency Oriented Distributed Heterogeneous Hybrid Flow Shop Scheduling With Multilevelled Mixed-Model Assembly. - Weishi Shao; Zhongshi Shao; Dechang Pi; Jiaquan Gao (IEEE Trans. Syst. Man Cybern. Syst., 2025)