Multiprocessor scheduling in a genetic paradigm

Author:

Ahmad Imtiaz,Dhodhi Muhammad K.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rectangular Spraying Task Assignment Via a Genetic Algorithm;2023 8th International Conference on Automation, Control and Robotics Engineering (CACRE);2023-07

2. Learning Heterogeneous DAG Tasks Scheduling Policies With Efficient Neural Network Evolution;2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2021-09

3. Multiprocessor Scheduling Based on Evolutionary Technique for Solving Permutation Flow Shop Problem;IEEE Access;2020

4. Genetic algorithms for scheduling in a CPU/FPGA architecture with heterogeneous communication delays;Computers & Industrial Engineering;2019-11

5. Assessing the Use of Genetic Algorithms to Schedule Independent Tasks Under Power Constraints;2018 International Conference on High Performance Computing & Simulation (HPCS);2018-07

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