A Multi-objective Evolution Strategy for Real-Time Task Placement on Heterogeneous Processors

Author:

Lassoued Rahma,Mzid Rania

Publisher

Springer Nature Switzerland

Reference9 articles.

1. Ebrahimian Amiri, J.: A foundation for development of programming languages for real-time systems. The Australian National University (2021)

2. Deo Prakash, V., Anil Kumar, T.: Maximizing reliability of distributed computing system with task allocation using simple genetic algorithm. J. Syst. Archit. 47(6), 549–554 (2001)

3. Mostafa, H.K., Houman, Z., Ghazaleh, J.: A new metaheuristic approach to task assignment problem in distributed system. In: IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI) (2017)

4. Rahma, B., Laurent, L., Frank, S., Bechir, Z., Mohamed, J.: Architecture exploration of real-time systems based on multi-objective optimization. In: the 20th International Conference on Engineering of Complex Computer Systems (2015)

5. Lesinski, G., Corns, S.: A pareto based multi-objective evolutionary algorithm approach to military installation rail infrastructure investment. Indus. Syst. Eng. Rev. 7(2), 64–75 (2019)

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