Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractA comparison of removal performance of volatile organic and sulfurous compounds between odour abatement systems    Next AbstractBacterial interactions with the mycelium of the cultivated edible mushrooms Agaricus bisporus and Pleurotus ostreatus »

Anal Chim Acta


Title:An efficient variable selection method based on the use of external memory in ant colony optimization. Application to QSAR/QSPR studies
Author(s):Shamsipur M; Zare-Shahabadi V; Hemmateenejad B; Akhond M;
Address:"Department of Chemistry, Razi University, Kermanshah, Iran. mshamsipur@yahoo.com"
Journal Title:Anal Chim Acta
Year:2009
Volume:20090512
Issue:1-Feb
Page Number:39 - 46
DOI: 10.1016/j.aca.2009.05.005
ISSN/ISBN:1873-4324 (Electronic) 0003-2670 (Linking)
Abstract:"A novel approach for the use of external memory in ant colony optimization strategy for solving descriptor selection problem in quantitative structure-activity/property relationship studies is described. In this approach, several ant colony system algorithms are run to build an external memory containing a number of elite ants. In the next step, all of the elite ants in the external memory are allowed to update the pheromones. Then the external memory is emptied and the updated pheromones are used again, by several ant colony system algorithms to build a new external memory. These steps are iteratively run for certain number of iterations. At the end, the memory will be containing several top solutions to the problem. The proposed approach was applied to solving variable selection problem in quantitative structure-activity/property relationship studies of rate constants of o-methylation of 36 phenol derivatives and activities of 31 antifilarial antimycin compounds, for which the obtained results revealed that both the speed and the solution quality are improved compared to conventional ant colony system algorithms"
Keywords:"*Algorithms Animals Antimycin A/analogs & derivatives/chemistry Ants/*physiology Behavior, Animal/physiology Memory *Models, Biological Phenol/chemistry Pheromones/physiology *Quantitative Structure-Activity Relationship;"
Notes:"MedlineShamsipur, Mojtaba Zare-Shahabadi, Vali Hemmateenejad, Bahram Akhond, Morteza eng Netherlands 2009/06/16 Anal Chim Acta. 2009 Jul 30; 646(1-2):39-46. doi: 10.1016/j.aca.2009.05.005. Epub 2009 May 12"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 22-11-2024