DocumentCode
1953753
Title
Notice of Retraction
The Application of genetic algorithm for the panel cutting stock
Author
Qi Yue ; Xiao-Juan Liu
Author_Institution
Comput. Applic. Technol., Northeast Forestry Univ., Harbin, China
Volume
4
fYear
2010
fDate
9-11 July 2010
Firstpage
169
Lastpage
173
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Cutting stock is concerned with how to saving material, optimize resources in product designing, manufacturing. It is very complicated and difficult in computing theory, but it has got the extensive application in the actual manufacture. In allusion to the actual characteristics of the genetic algorithm which is applied in the problem of the optimization in rectangular pieces of material, this paper puts forward a new object-oriented genetic encoding and the genetic variation method based on “linking raw material”. They can reduce the number of gene mutation which is nonzero; it proposes the corresponding design methods on the fitness function, initial population generation and genetic manipulation and some key issues, and draws the feasible conclusions. The instance of this algorithm shows that it can solve the stock cutting optimization of rectangular material more quickly and efficiently.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Cutting stock is concerned with how to saving material, optimize resources in product designing, manufacturing. It is very complicated and difficult in computing theory, but it has got the extensive application in the actual manufacture. In allusion to the actual characteristics of the genetic algorithm which is applied in the problem of the optimization in rectangular pieces of material, this paper puts forward a new object-oriented genetic encoding and the genetic variation method based on “linking raw material”. They can reduce the number of gene mutation which is nonzero; it proposes the corresponding design methods on the fitness function, initial population generation and genetic manipulation and some key issues, and draws the feasible conclusions. The instance of this algorithm shows that it can solve the stock cutting optimization of rectangular material more quickly and efficiently.
Keywords
cutting; genetic algorithms; product design; raw materials; computing theory; genetic algorithm; genetic manipulation; genetic variation method; linking raw material; object-oriented genetic encoding; panel cutting stock; product designing; product manufacturing; stock cutting optimization; Materials; Furniture Cutting Stock; Genetic Algorithm; Rectangular Layout Problem;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564826
Filename
5564826
Link To Document