source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops"

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:
Thu, 11/08/2018 - 10:34
DOI:
10.21227/vzw5-wv60
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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".

Instructions: 

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 researchattempts

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[1] Guanlong Deng, "source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops"", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/vzw5-wv60. Accessed: Jun. 25, 2019.
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doi = {10.21227/vzw5-wv60},
url = {http://dx.doi.org/10.21227/vzw5-wv60},
author = {Guanlong Deng },
publisher = {IEEE Dataport},
title = {source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops"},
year = {2018} }
TY - DATA
T1 - source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops"
AU - Guanlong Deng
PY - 2018
PB - IEEE Dataport
UR - 10.21227/vzw5-wv60
ER -
Guanlong Deng. (2018). source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops". IEEE Dataport. http://dx.doi.org/10.21227/vzw5-wv60
Guanlong Deng, 2018. source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops". Available at: http://dx.doi.org/10.21227/vzw5-wv60.
Guanlong Deng. (2018). "source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops"." Web.
1. Guanlong Deng. source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops" [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/vzw5-wv60
Guanlong Deng. "source data for article entitled "multi-objective parallel variable neighborhood search for energy consumption scheduling in blocking flow shops"." doi: 10.21227/vzw5-wv60