Photosynthetic algorithm approaches for bioinformatics

被引：3

作者：

Alatas, Bilal ^{[1
]}

机构：

[1] Tunceli Univ, Dept Comp Engn, TR-62000 Tunceli, Turkey

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2011年 / 38卷 / 08期

基金：

巴西圣保罗研究基金会;

关键词：

Heuristics; Photosynthetic algorithm; Bioinformatics; Multiple sequence alignment; Association rules mining; FEATURE-SELECTION; NEURAL-NETWORK; CLASSIFICATION; SIGNALS;

D O I：

10.1016/j.eswa.2011.02.102

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Photosynthetic algorithm (PA) is the newly biosystem-derived heuristic search algorithm that utilizes the dark reaction rules governing the transfer of carbon molecules from one substance into another in the Calvin-Benson cycle and photorespiration. There are only two works using this new algorithm in the literature, one for finite element analysis and one for N-queen problem. This paper presents PA based novel solution techniques in bioinformatics problems such as aligning multiple sequences and discovering association rules within bio-medical data. The simulation results demonstrate the applicability and potential of this algorithm. (C) 2011 Elsevier Ltd. All rights reserved.

引用

页码：10541 / 10553

页数：13

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