DocumentCode
518671
Title
Notice of Retraction
Application of improved differential evolution algorithm in solving container-packing problems
Author
Chuan He ; Yuan-Biao Zhang ; Jian-Wen Wu ; Cheng Chang
Author_Institution
Math. Modeling Innovative Practice Base, Zhuhai Coll. Jinan Univ., Zhuhai, China
Volume
1
fYear
2010
fDate
27-29 March 2010
Firstpage
1
Lastpage
5
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.
In this paper, aim at the characteristics of multi-objective multi-constrained and difficult to solve of the three-dimensional container-packing problem, we propose to solve the problem with improved differential evolution (IDE) algorithm. By overloading the evolutionary operation of differential evolution algorithm that we can deal with discrete optimization problems effectively. Define the adaptive crossover-factor and stagnation variation mechanism to prevent premature stagnation of the algorithm, and improve the population diversity. Simulation results show that the IDE algorithm can excellently solve the three-dimensional container-packing problem.
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.
In this paper, aim at the characteristics of multi-objective multi-constrained and difficult to solve of the three-dimensional container-packing problem, we propose to solve the problem with improved differential evolution (IDE) algorithm. By overloading the evolutionary operation of differential evolution algorithm that we can deal with discrete optimization problems effectively. Define the adaptive crossover-factor and stagnation variation mechanism to prevent premature stagnation of the algorithm, and improve the population diversity. Simulation results show that the IDE algorithm can excellently solve the three-dimensional container-packing problem.
Keywords
bin packing; optimisation; adaptive crossover-factor; discrete optimization problem; evolutionary operation; improved differential evolution algorithm; population diversity; stagnation variation mechanism; three-dimensional container-packing problem; Algorithm design and analysis; Application software; Computer science; Diversity reception; Educational institutions; Encoding; Genetic algorithms; Genetic mutations; Heuristic algorithms; Particle swarm optimization; Improved differential evolution; Spatial segmentation; Stagnation variation; Symbol overloading; Three-dimensional container-packing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location
Shenyang
Print_ISBN
978-1-4244-5845-5
Type
conf
DOI
10.1109/ICACC.2010.5486767
Filename
5486767
Link To Document