Ba-PSO: A Balanced PSO to solve multi-objective grid scheduling problem

Author:

Ankita ORCID,Sahana Sudip Kumar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference54 articles.

1. Abraham A, Buyya R, Nath B (2000) Nature’s heuristics for scheduling jobs on computational grids. In: The 8th IEEE international conference on advanced computing and communications (ADCOM 2000), pp 45–52

2. Abraham A, Liu H, Chang TG (2006) Variable neighborhood particle swarm optimization algorithm. In: Genetic and evolutionary computation conference (GECCO-2006), Seattle

3. Abraham A, Liu H, Zhang W, Chang TG (2006) Scheduling jobs on computational grids using fuzzy particle swarm algorithm. In: International conference on knowledge-based and intelligent information and engineering systems. Springer, pp 500–507

4. Ambursa FU, Latip R (2013) A survey: Particle swarm optimization-based algorithms for grid computing scheduling systems. J Comput Sci 9(12):1669

5. Ankita, Sahana SK (2019) Evolutionary based hybrid ga for solving multi-objective grid scheduling problem. Microsyst Technol:1–12

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