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

et al.

Algorithms, Journal Year: 2024, Volume and Issue: 17(10), P. 431 - 431

Published: Sept. 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.

Language: Английский

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

Feige Liu,

Guiling Li, Chao Lu

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 237, P. 121667 - 121667

Published: Sept. 20, 2023

Language: Английский

Citations

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

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126600 - 126600

Published: Jan. 1, 2025

Language: Английский

Citations

1

Modeling and Scheduling a Constrained Flowshop in Distributed Manufacturing Environments DOI

Bingtao Wang,

Quan-Ke Pan,

Liang Gao

et al.

Journal of Manufacturing Systems, Journal Year: 2024, Volume and Issue: 72, P. 519 - 535

Published: Jan. 9, 2024

Language: Английский

Citations

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

et al.

Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 87, P. 101559 - 101559

Published: April 5, 2024

Language: Английский

Citations

6

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

Chuang Wang,

Quan-Ke Pan, Xue-Lei Jing

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 238, P. 121856 - 121856

Published: Sept. 26, 2023

Language: Английский

Citations

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

et al.

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 126441 - 126441

Published: Jan. 1, 2025

Language: Английский

Citations

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

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 94, P. 101871 - 101871

Published: Feb. 3, 2025

Language: Английский

Citations

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

et al.

Computers & Industrial Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 110949 - 110949

Published: Feb. 1, 2025

Language: Английский

Citations

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

et al.

European Journal of Operational Research, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

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

et al.

Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 95, P. 101910 - 101910

Published: March 19, 2025

Language: Английский

Citations

0