A hybrid evolutionary algorithm for wheat blending problem.
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 of Computer Science, The University of Adelaide, Adelaide, SA 5005, Australia.
Xiang
0000-0002-9311-8387
X
Li
School of Computer Science, The University of Adelaide, Adelaide, SA 5005, Australia.
Mohammad Reza
MR
Bonyadi
School of Computer Science, The University of Adelaide, Adelaide, SA 5005, Australia ; Institute of Computer Science, Polish Academy of Sciences, Ulica Ordona 21, 01-237 Warsaw, Poland ; Polish-Japanese Institute of Information Technology, Ulica Koszykowa 86, 02-008 Warsaw, Poland.
Zbigniew
Z
Michalewicz
SolveIT Software, 99 Frome Street, Adelaide, SA 5000, Australia.
Luigi
L
Barone
D000465:Algorithms; D063427:Food Quality; D012984:Software; D014908:Triticum / Q000600:supply & distribution