Title :
Notice of Retraction
Ant colony optimization algorithm for continuous domains
Author :
Tingtang Ming ; Ruipeng Ding ; Li jun
Author_Institution :
Network Inf. Center, Univ. of Henan, Kaifeng, China
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.
Ant colony optimization is one of the popular metaheuristics used for tackling optimization problems. In this paper, we present a novel idea on how ACO may be extended to continuous domains with the pheromone modeled by probability density functions instead of a table. We present a fully functional algorithm and evaluate the performance of our algorithm on a real-world problem of training neural networks for pattern classification .Evaluation results demonstrate that it is competitive, when compared to other algorithms.
Keywords :
heuristic programming; learning (artificial intelligence); optimisation; pattern classification; probability; ant colony optimization algorithm; continuous domain; fully functional algorithm; metaheuristics; pattern classification; probability density functions; training neural networks; Artificial neural networks; Ellipsoids; Ant Colony Optimization (ACO); Classification Error Percentage (CEP); Continuous Optimization Problems (COPs); Neural Networks(NNs);
Conference_Titel :
Computer and Communication Technologies in Agriculture Engineering (CCTAE), 2010 International Conference On
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6944-4
DOI :
10.1109/CCTAE.2010.5543300
