An Improved Iterated Greedy Algorithm for Solving Collaborative Helicopter Rescue Routing Problem with Time Window and Limited Survival Time DOI Creative Commons
Xining Cui,

Kaidong Yang,

Xiaoqing Wang

и другие.

Algorithms, Год журнала: 2024, Номер 17(10), С. 431 - 431

Опубликована: Сен. 26, 2024

Research on helicopter dispatching has received considerable attention, particularly in relation to post-disaster rescue operations. The survival chances of individuals trapped emergency situations decrease as time passes, making timely dispatch crucial for successful missions. Therefore, this study investigates a collaborative routing problem with window and limited constraints, solving it using an improved iterative greedy (IIG) algorithm. In the proposed algorithm, heuristic initialization strategy is designed generate efficient feasible initial solution. Then, feasible-first destruction-construction applied enhance algorithm’s exploration ability. Next, problem-specific local search developed improve effectiveness. addition, simulated annealing (SA) method integrated acceptance criterion avoid algorithm from getting optima. Finally, evaluate efficacy IIG, 56 instances were generated based Solomon used simulation tests. A comparative analysis was conducted against six algorithms existing studies. experimental results demonstrate that performs well problem.

Язык: Английский

A tri-individual iterated greedy algorithm for the distributed hybrid flow shop with blocking DOI

Feige Liu,

Guiling Li, Chao Lu

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 237, С. 121667 - 121667

Опубликована: Сен. 20, 2023

Язык: Английский

Процитировано

28

Enhancing distributed blocking flowshop group scheduling: Theoretical insight and application of an iterated greedy algorithm with idle time insertion and rapid evaluation mechanisms DOI

Yizheng Wang,

Yuting Wang, Yuyan Han

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126600 - 126600

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Modeling and Scheduling a Constrained Flowshop in Distributed Manufacturing Environments DOI

Bingtao Wang,

Quan-Ke Pan,

Liang Gao

и другие.

Journal of Manufacturing Systems, Год журнала: 2024, Номер 72, С. 519 - 535

Опубликована: Янв. 9, 2024

Язык: Английский

Процитировано

8

An enhanced estimation of distribution algorithm with problem-specific knowledge for distributed no-wait flowshop group scheduling problems DOI

Zi-Qi Zhang,

Yanxuan Xu,

Bin Qian

и другие.

Swarm and Evolutionary Computation, Год журнала: 2024, Номер 87, С. 101559 - 101559

Опубликована: Апрель 5, 2024

Язык: Английский

Процитировано

6

An effective adaptive iterated greedy algorithm for a cascaded flowshop joint scheduling problem DOI

Chuang Wang,

Quan-Ke Pan, Xue-Lei Jing

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 238, С. 121856 - 121856

Опубликована: Сен. 26, 2023

Язык: Английский

Процитировано

11

Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times DOI
Hao Wang,

W. Lin,

Tao Peng

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126441 - 126441

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Reinforcement learning-assisted particle swarm algorithm for effluent scheduling problem with an influent estimation of WWTP DOI

Han Hong-gui,

XU ZiAng,

Jingjing Wang

и другие.

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 94, С. 101871 - 101871

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

0

A rapid population-based iterated greedy for distributed blocking group flowshop scheduling with delivery time windows under multiple processing time scenarios DOI
Yizheng Wang, Yuting Wang, Yuyan Han

и другие.

Computers & Industrial Engineering, Год журнала: 2025, Номер unknown, С. 110949 - 110949

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Minimising Makespan and Total Tardiness for the Flowshop Group Scheduling Problem with Sequence Dependent Setup Times DOI
Xuan He, Quan-Ke Pan, Liang Gao

и другие.

European Journal of Operational Research, Год журнала: 2025, Номер unknown

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

A cooperative discrete artificial bee colony algorithm with Q-learning for solving the distributed permutation flowshop group scheduling problem with preventive maintenance DOI

Wanzhong Wu,

Hongyan Sang,

Quan Pan

и другие.

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 95, С. 101910 - 101910

Опубликована: Март 19, 2025

Язык: Английский

Процитировано

0