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source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops"
- Citation Author(s):
- Guanlong Deng
- Submitted by:
- Guanlong Deng
- Last updated:
- Tue, 05/17/2022 - 22:17
- DOI:
- 10.21227/vzw5-wv60
- Data Format:
- Research Article Link:
- License:
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- Keywords:
Abstract
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A multi-objective parallel variable neighborhood search (MPVNS) algorithm is proposed for solving the multi-objective blocking flow shop scheduling problem. The MPVNS is compared with non-dominated sorting genetic algorithm (NSGA-II) and bi-objective multi-start simulated annealing algorithm (BMSA). This data provide the original results obtained by the three algorithms, which are compared in a research paper entitled "Multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops".
file folder named "1-MPVNS results" includes the original results of the MPVNS algorithm.
file folder named "2-BMSA results" includes the original results of the BMSA algorithm.
file folder named "3-NSGAII- results" includes the original results of the NSGAII algorithm.
file folder named "4-non-dominated solution sets obtained by 1-3" includes the non-dominated solutions of each algorithm and the net non-dominated front of each instance.
file folder named "5-results obtained by 4" includes the computed Set Coverage and Hypervolume results obtained by the data in file folder named "4-non-dominated solution sets obtained by 1-3".
Comments
this source data can possible serve as reference resources for future research
attempts