Application of improved intelligent ant colony algorithm in protein folding prediction

Application of improved intelligent ant colony algorithm in protein folding prediction

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While the single ant colony algorithm and the fish swarm algorithm have many advantages, they also have various shortcomings.After analyzing the advantages and disadvantages of the chili rasbora for sale ant colony algorithm and the fish swarm algorithm, this paper uses the complementary principle of the two algorithms to effectively fuse the two population intelligent algorithms.The improved swarm intelligence algorithm is applied to the well-considered protein folding prediction problem, and taters over haters the simplified protein structure Toy model is verified, and the ideal results are obtained.The improved algorithm enhances the search ability, and the computational efficiency is greatly improved, ensuring the accuracy of the operation.