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
Data Format:
License:
0
0 ratings - Please login to submit your rating.

Abstract 

800x600

Normal
0

7.8 磅
0
2

false
false
false

EN-US
ZH-CN
X-NONE

MicrosoftInternetExplorer4

/* Style Definitions */
table.MsoNormalTable
{mso-style-name:普通表格;
mso-tstyle-rowband-size:0;
mso-tstyle-colband-size:0;
mso-style-noshow:yes;
mso-style-priority:99;
mso-style-parent:"";
mso-padding-alt:0cm 5.4pt 0cm 5.4pt;
mso-para-margin:0cm;
mso-para-margin-bottom:.0001pt;
mso-pagination:widow-orphan;
font-size:10.0pt;
font-family:"Times New Roman",serif;}

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

Submitted by Guanlong Deng on Sat, 10/06/2018 - 13:40