A swarm intelligence based memetic algorithm for task allocation in distributed systems

Raheleh Sarvizadeh; Mostafa Haghi Kashani

doi:10.1117/12.920102

13 January 2012 A swarm intelligence based memetic algorithm for task allocation in distributed systems

Raheleh Sarvizadeh, Mostafa Haghi Kashani

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83490X (2012) https://doi.org/10.1117/12.920102
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

This paper proposes a Swarm Intelligence based Memetic algorithm for Task Allocation and scheduling in distributed systems. The tasks scheduling in distributed systems is known as an NP-complete problem. Hence, many genetic algorithms have been proposed for searching optimal solutions from entire solution space. However, these existing approaches are going to scan the entire solution space without considering the techniques that can reduce the complexity of the optimization. Spending too much time for doing scheduling is considered the main shortcoming of these approaches. Therefore, in this paper memetic algorithm has been used to cope with this shortcoming. With regard to load balancing efficiently, Bee Colony Optimization (BCO) has been applied as local search in the proposed memetic algorithm. Extended experimental results demonstrated that the proposed method outperformed the existing GA-based method in terms of CPU utilization.

Citation Download Citation

Raheleh Sarvizadeh and Mostafa Haghi Kashani "A swarm intelligence based memetic algorithm for task allocation in distributed systems", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83490X (13 January 2012); https://doi.org/10.1117/12.920102

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