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Multi-objective league championship algorithm for real-time task scheduling

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Abstract

League championship algorithm is a recently proposed population-based evolutionary algorithm for finding global optimal solutions in continuous optimization problems. The proposed work adopts the algorithm by modifying the team formation step for solving real-time task scheduling problem in heterogeneous multiprocessors. Two different objectives: tardiness and energy consumption were considered for scheduling. Our proposed algorithm is implemented using Java and tested using the graphs generated by the benchmark tools: task graph for free and task graph generator. Simulation results prove the performance of the proposed algorithm is better in terms of the objective functions over the other existing metaheuristic algorithms such as genetic algorithm, ant colony optimization and particle swarm optimization.

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Authors and Affiliations

  1. Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, India

    Saroja Subbaraj & Revathi Thiagarajan

  2. Department of Electrical and Electronics Engineering, PSR Engineering College, Sivakasi, India

    Madavan Rengaraj

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  1. Saroja Subbaraj
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  2. Revathi Thiagarajan
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  3. Madavan Rengaraj
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Correspondence to Saroja Subbaraj.

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Subbaraj, S., Thiagarajan, R. & Rengaraj, M. Multi-objective league championship algorithm for real-time task scheduling. Neural Comput & Applic 32, 5093–5104 (2020). https://doi.org/10.1007/s00521-018-3950-y

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