JOURNAL ARTICLE

Max-Min Processors Scheduling

Hani AlquhayzMahdi Jemmali

Year: 2021 Journal:   Information Technology And Control Vol: 50 (1)Pages: 5-12   Publisher: Kaunas University of Technology

Abstract

This paper focuses on the maximization of the minimum completion time on identical parallel processors. The objective of this maximization is to ensure fair distribution. Let a set of jobs to be assigned to several identical parallel processors. This problem is shown as NP-hard. The research work of this paper is based essentially on the comparison of the proposed heuristics with others cited in the literature review. Our heuristics are developed using essentially the randomization method and the iterative utilization of the knapsack problem to solve the studied problem. Heuristics are assessed by several instances represented in the experimental results. The results show that the knapsack based heuristic gives almost a similar performance than heuristic in a literature review but in better running time.

Keywords:
Knapsack problem Heuristics Maximization Mathematical optimization Computer science Scheduling (production processes) Heuristic Set (abstract data type) Continuous knapsack problem Job shop scheduling Mathematics Schedule

Metrics

17
Cited By
2.27
FWCI (Field Weighted Citation Impact)
25
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Scheduling and Optimization Algorithms
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Optimization and Search Problems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Optimization and Packing Problems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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