A Multi-Objective Quantum-Inspired Genetic Algorithm (Mo-QIGA) for Real-Time Tasks Scheduling in Multiprocessor Environment

Author:

Konar Debanjan,Sharma Kalpana,Sarogi Varun,Bhattacharyya Siddhartha

Publisher

Elsevier BV

Subject

General Engineering

Reference46 articles.

1. “Dynamic hard-real-time scheduling using genetic algorithm for multiprocessor task with resource and timing constraints”,;Cheng;Expert Systems with Applications.,2009

2. “An Efficient Dynamic Scheduling Algorithm for Multiprocessor Real-time Systems”,;Manimaran;IEEE Transactions on Parallel and Distributed Systems,1998

3. “Energy Efficient Scheduling of Real-Time Tasks on Multicore Processors”,;Seo;IEEE Transactions on Parallel and Distributed Systems,2008

4. "Fair Scheduling of Dynamic Task Systems on Multiprocessors”,;Srinivasan;The Journal of Systems and Software,,2005

5. L. Budin, J. Domagoj and G. Marin, “Genetic algorithm in real-time imprecise computing”, Proceedings of Industrial Electronics, pp. 84-89.

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