A hybrid evolutionary algorithm for wheat blending problem
Files
(Published version)
Date
2014
Authors
Li, X.
Bonyadi, M.
Michalewicz, Z.
Barone, L.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
The Scientific World Journal, 2014; 2014:967254-1-967254-13
Statement of Responsibility
Xiang Li, Mohammad Reza Bonyadi, Zbigniew Michalewicz, and Luigi Barone
Conference Name
Abstract
This paper presents a hybrid evolutionary algorithm to deal with the wheat blending problem. The unique constraints of this problem make many existing algorithms fail: either they do not generate acceptable results or they are not able to complete optimization within the required time. The proposed algorithm starts with a filtering process that follows predefined rules to reduce the search space. Then the linear-relaxed version of the problem is solved using a standard linear programming algorithm. The result is used in conjunction with a solution generated by a heuristic method to generate an initial solution. After that, a hybrid of an evolutionary algorithm, a heuristic method, and a linear programming solver is used to improve the quality of the solution. A local search based posttuning method is also incorporated into the algorithm. The proposed algorithm has been tested on artificial test cases and also real data from past years. Results show that the algorithm is able to find quality results in all cases and outperforms the existing method in terms of both quality and speed.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright © 2014 Xiang Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.