Photosynthetic algorithm approaches for bioinformatics

Authors:
Bilal Alatas
Affiliations:
Tunceli University, Department of Computer Engineering, TR62000 Tunceli, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 3
Cited 0

Genetic algorithm with ant colony optimization (GA-ACO) for multiple sequence alignment

Applied Soft Computing
MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules

Applied Soft Computing
Genetic algorithm-based strategy for identifying association rules without specifying actual minimum support

Expert Systems with Applications: An International Journal

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Abstract

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.