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An Improved Ant Colony Algorithm Based on the Immune Strategy for the 2D HP Protein Structure Prediction Problem

Marghny H. Mohammed, Abdel-Rahman Hedar, Sara Salah

Abstract


The prediction of a protein’s structure from its amino acid sequence is one of the most important problems in computational biology. In this work we present an improved version of Ant Colony Optimization (ACO) algorithm with diversified solutions based on the Immune Strategy (IS) called (ACIS). It is shown experimentally that the algorithm achieves on nearly all test sequences comparable results to other state of the art algorithms.

Keywords


Ant Colony Optimization, Immune System, Genetic Algorithm, Protein Structure Prediction

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References


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