## 4 Levelized Multiple Workflow Heterogeneous Earliest Finish Time
### The LMAEFT Algorithm
[CrossRef] [PubMed]
* [PERSON] and [PERSON] (1997) [PERSON]; [PERSON] Efficient scheduling of arbitrary task graphs to multiprocessors using a parallel genetic algorithm. _J. Parallel Distrib. Comput._**1997**, _47_, 58-77. [CrossRef]* (51) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] An incremental genetic algorithm approach to multiprocessor scheduling. _IEEE Trans. Parallel Distrib. Syst._**2004**, _15_, 824-834. [CrossRef]
* (52) [PERSON]; [PERSON]; [PERSON] Genetic scheduling for parallel processor systems: Comparative studies and performance issues. _IEEE Trans. Parallel Distrib. Syst._**1999**, _10_, 795-812. [CrossRef]
* (53) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A novel directional and non-local-convergent particle swarm optimization based workflow scheduling in cloud-edge environment. _Future Gener. Comput. Syst._**2019**, _97_, 361-378. [CrossRef]
* (54) [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON] Smart PSO-based secured scheduling approaches for scientific workflows in cloud computing. _Soft Comput._**2019**, _23_, 1745-1765. [CrossRef]
* (55) [PERSON]; [PERSON] An Approach for Workflow Scheduling in Cloud Using ACO. In _Big Data Analytics_; Springer: Singapore, 2018; pp. 525-531. * (56) [PERSON]; [PERSON]; [PERSON] An ACO-based multi-objective optimization for cooperating VM placement in cloud data center. _J. Supercomput._**2022**, _78_, 3093-3121. [CrossRef]
* (57) [PERSON]; [PERSON]; [PERSON] [PERSON] SWSA: A Hybrid Scientific Workflow Scheduling Algorithm Based on Metaheuristic Approach in Cloud Computing Environment. _J. Inf. Knowl. Manag._**2021**, _20_, 2150035. [CrossRef]
* (58) [PERSON]; [PERSON] Workflow scheduling in cloud environment using a novel metaheuristic optimization algorithm. _Int. J. Commun. Syst._**2021**, _34_, e4746. [CrossRef]
* (59) [PERSON]; [PERSON]; [PERSON]; [PERSON] Systematic Literature Review: Metaheuristics-based Approach for Workflow Scheduling in Cloud. In Proceedings of the 2020 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), Sharjah, United Arab Emirates, 3-5 November 2020; IEEE: Piscataway Township, NJ, USA, 2020; pp. 1-5. * (60) [PERSON]; [PERSON]; [PERSON] Multi-objective scheduling strategy for scientific workflows in cloud environment: A Firefly-based approach. _Appl. Soft Comput._**2020**, _93_, 106411. [CrossRef]
* (61) [PERSON]; [PERSON]; [PERSON] Cost-effective workflow scheduling approach on Cloud under deadline constraint using firefly algorithm. _Appl. Intell._**2021**, _51_, 1629-1644. [CrossRef]
* (62) [PERSON]; [PERSON] A budget-constrained time and reliability optimization bat algorithm for scheduling workflow applications in clouds. _Procedia Comput. Sci._**2016**, _98_, 199-204. [CrossRef]
* (63) [PERSON]; [PERSON] Energy-aware workflow scheduling and optimization in clouds using bat algorithm. _Future Gener. Comput. Syst._**2020**, _113_, 106-112. [CrossRef]
* (64) [PERSON]; [PERSON]; [PERSON]; [PERSON] A GSA based hybrid algorithm for bi-objective workflow scheduling in cloud computing. _Future Gener. Comput. Syst._**2018**, _83_, 14-26. [CrossRef]
* (65) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] A two-stage preference driven multi-objective evolutionary algorithm for workflow scheduling in the Cloud. _Expert Syst. Appl._**2024**, _238_, 122009. [CrossRef]
* (66) [PERSON]; [PERSON]; [PERSON] [PERSON] Aggregated-DAG scheduling for job flow maximization in heterogeneous cloud computing. In Proceedings of the 2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, Houston, TX, USA, 5-9 December 2011; IEEE: Piscataway Township, NJ, USA, 2011; pp. 1-6. * (67) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Multiple workflow scheduling strategies with user run time estimates on a grid. _J. Grid Comput._**2012**, _10_, 325-346. [CrossRef]
* (68) [PERSON]; [PERSON] Scheduling multiple dags onto heterogeneous systems.