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An Improved Quantum Ant Colony Optimization Algorithm for Solving Complex Function Problems
Changai Chen,Yanwen Xu 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.11
In order to improve the slow convergence speed and avoid falling into the local optimum in ant colony optimization algorithm, an improved quantum ant colony optimization (IMAQACO) algorithm based on combing quantum evolutionary algorithm with ant colony optimization algorithm is proposed for solving complex function problems in this paper. In the IMAQACO algorithm, the quantum state vectors are used to represent the pheromone, the adaptively dynamical updating strategy is used to control pheromone evaporation factor, the quantum rotation gate is used to realize the ant movement and change the convergence tend of quantum probability amplitude, quantum non-gate is used to realize ant location variation, so the IMAQACO algorithm has better global search ability and population diversity than ACO algorithm. In order to test the optimization performance of IMAQACO algorithm, several benchmark functions are selected in here. The tested results indicate that the IMAQACO can effectively improve the convergence speed and avoid falling into the local optimum, and has a stronger global optimization ability and higher convergence speed in solving complex function problems.
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Next‑Generation Sequencing‑Based Preimplantation Genetic Testing for De Novo NF1 Mutations
DongJia Chen,Xiaoting Shen,Yan Xu,Bing Cai,Chenhui Ding,Yiping Zhong,Yanwen Xu,Canquan Zhou 한국바이오칩학회 2021 BioChip Journal Vol.15 No.1
Neurofibroma type 1 (NFI) is an autosomal dominant genetic disease associated with cancer and cognitive dysfunction. The 50% de novo mutation rate and numerous mutation types of the NF1 gene pose challenges to preimplantation genetic testing (PGT) for NFI. In 2020, a couple was subjected to next-generation sequencing (NGS)-based PGT at our center. Both husband and wife carried de novo NF1 mutations. Biopsied trophectoderm samples underwent whole-genome amplification using multiple displacement amplification. NGS was conducted to detect NF1 mutations as well as 105 closely linked single-nucleotide polymorphisms (SNPs) flanking NF1. Since no affected family member was available, the affected embryos identified by NF1-targeted sequencing were assigned as probands, based on which a haplotype analysis was constructed with informative SNP sites. Sanger sequencing was administrated for verification. Aneuploidy screening through NGS was performed in the same PGT cycle. Finally, among the nine biopsied blastocysts, two unaffected and euploid blastocysts were obtained in the couple, and one of the blastocysts was transferred in a frozen–thawed embryo transfer (FET) cycle. The outcome of FET is under observation. This study is the first to apply NGS-based PGT for NFI. In cases of sporadic NFI cases without affected family members, NGS-SNP can perform haploid analysis in an accurate manner by assigning the affected embryos as probands.
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