# A Fuzzy Differential Evolution Algorithm for Job Scheduling on Computational Grids

arXiv: https://arxiv.org/abs/1407.6317 · HTML: https://mlsanity.com/paper/1407.6317/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Jul 2014.

## Built on by (most cited first, 1 of 1)

- [Fuzzy Logic -- Based Scheduling System for Part-Time Workforce](https://mlsanity.com/paper/2504.17805/) (2025)

## Abstract (arXiv)

Grid computing is the recently growing area of computing that share data, storage, computing across geographically dispersed area. This paper proposes a novel fuzzy approach using Differential Evolution (DE) for scheduling jobs on computational grids. The fuzzy based DE generates an optimal plan to complete the jobs within a minimum period of time. We evaluate the performance of the proposed fuzzy based DE algorithm with Genetic Algorithm (GA), Simulated Annealing (SA), Differential Evolution and fuzzy PSO. Experimental results have shown that the new algorithm produces more optimal solutions for the job scheduling problems compared to other algorithms.