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

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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".

this source data can possible serve as reference resources for future research
attempts

Guanlong Deng Sat, 10/06/2018 - 17:40 Permalink