The Fuzzy Optimization Algorithm to Solve Customer’s Highest Satisfaction Under Fuzzy Time
Liang Xu, Huang Ming, Ning Tao*, Dang XinyangInstitute of Software, Dalian Jiaotong University, Dalian, China, 116045
Abstract
The fuzzy completion time and customer request are two main uncertain factors in the process of the actual
workshop production. The scheduling model under uncertain situation based on fuzzy mathematics is established in this
paper. The average customer satisfaction acts as the objective of the model. Next, a novel hybrid algorithm is obtained
through improving the mutation operation of genetic algorithm on the basis of simulated annealing algorithm. The customers
can determine the priority through the process time of the process route to evaluate the effectiveness of the process
route. The effectiveness and superiority of the proposed algorithm are verified through the contrast experiment with the
existing algorithms.
Keywords: Genetic algorithm, membership function, penalty value, priority, simulated annealing algorithm.
Article Information
Article History:
Received Date: 21/8/2015
Revision Received Date: 1/10/2015
Acceptance Date: 2/10/2015
Electronic publication date: 30/04/2016
Collection year: 2016
© Xu et al.; Licensee Bentham Open.
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (
https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
* Address correspondence to this author at the Institute of Software, Dalian Jiaotong University; Tel/Fax: 8613940901029;
E-mail:daliannt@126.com
Open Peer Review Details |
Manuscript submitted on 21-8-2015 |
Original Manuscript |
The Fuzzy Optimization Algorithm to Solve Customer’s Highest Satisfaction Under Fuzzy Time |