FP-AK-QIEA-R seed to help the convergence of PECO

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Chire Saire J.E.
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Institute of Electrical and Electronics Engineers Inc.
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FP-AK-QIEA-ℝ has been used in Benchmark Functions, Protein Folding Problem and multi-objective problems. PECO was a proposed algorithm with good performance in Protein Folding Problem. The objective of this paper is perform experiments to improve the performance of PECO using FP-AK-QIEA-ℝ to initialize PECO. After plotting the best of ever, a meaningful change on the convergence is observed showing the modification of the convergence and after plotting the number of habitats is noticed a reduction of the number of habitats. In conclusion, adding FP-AK-QIEA-R solution improves the performance of PECO.
The author would like to thank Cesar M.V. Benítes of Bioinformatic Lab in UTFPR(Universidade Tecnologica Federal do Parana), Brasil.The author would like to thank CONCYTEC (Consejo Nacional de Ciencia, Tecnolog´ıa e Innovacion Tecnológica), by the financial supporting during Master Program.
Palabras clave
Quantum inspired evolutionary algorithm, Ecosystems, Protein folding, Proteins, Benchmark functions, Multi-objective problem, Particle filter, PDF estimation, PECO, Protein folding problem, Evolutionary algorithms