Particle Swarm Optimization with Tabu Search Algorithm (PSO-TS) Applied to Multiple Sequence Alignment Problem

[1]  Lamiche Chaabane.  A hybrid solver for protein multiple sequence alignment problem , 2018, J. Bioinform. Comput. Biol..

[2]  Pedro F. Rodriguez,et al.  Multiple sequence alignment using swarm intelligence , 2007 .

[3]  Ruhul A. Sarker,et al.  Progressive Alignment Method Using Genetic Algorithm for Multiple Sequence Alignment , 2012, IEEE Transactions on Evolutionary Computation.

[4]  Vincenzo Cutello,et al.  Protein multiple sequence alignment by hybrid bio-inspired algorithms , 2011, Nucleic acids research.

[5]  Afnizanfaizal Abdullah,et al.  A review on optimization algorithm for deep learning method in bioinformatics field , 2016, 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES).

[6]  Yuehui Chen,et al.  A Method for Multiple Sequence Alignment Based on Particle Swarm Optimization , 2009, ICIC.

[7]  Xiujuan Lei,et al.  Artificial bee colony algorithm for solving multiple sequence alignment , 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

[8]  Olivier Poch,et al.  RASCAL: Rapid Scanning and Correction of Multiple Sequence Alignments , 2003, Bioinform..

[9]  Navid Razmjooy,et al.  Deep learning as an alternative to super-resolution imaging in UAV systems , 2020 .

[10]  Wenbo Xu,et al.  Multiple Sequence Alignment Based on a Binary Particle Swarm Optimization Algorithm , 2009, 2009 Fifth International Conference on Natural Computation.

[11]  Tao Jiang,et al.  On the Complexity of Multiple Sequence Alignment , 1994, J. Comput. Biol..

[12]  Sajib Chatterjee,et al.  A hybrid genetic algorithm with chemical reaction optimization for multiple sequence alignment. , 2019, 2019 22nd International Conference on Computer and Information Technology (ICCIT).

[13]  José Francisco Aldana Montes,et al.  Comparing multi-objective metaheuristics for solving a three-objective formulation of multiple sequence alignment , 2017, Progress in Artificial Intelligence.

[14]  Haider Banka,et al.  An Improved Chemical Reaction-Based Approach for Multiple Sequence Alignment , 2017 .

[15]  Kenneth Steiglitz,et al.  Combinatorial Optimization: Algorithms and Complexity , 1981 .

[16]  Reda Alhajj,et al.  Multiple sequence alignment with affine gap by using multi-objective genetic algorithm , 2014, Comput. Methods Programs Biomed..

[17]  Hermes José Loschi,et al.  A Study on Metaheuristic-Based Neural Networks for Image Segmentation Purposes , 2019, Data Science.

[18]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[19]  Reza Jafari,et al.  Using deep reinforcement learning approach for solving the multiple sequence alignment problem , 2019, SN Applied Sciences.

[20]  H. Butt,et al.  Surface forces in a confined polymer melt: self-consistent field analysis of full and restricted equilibrium cases. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[21]  Jorng-Tzong Horng,et al.  A genetic algorithm for multiple sequence alignment , 2005, Soft Comput..

[22]  Yi Wang,et al.  Multiple Sequence Alignment Using Tabu Search , 2004, APBC.

[23]  Osamu Saotome,et al.  Super-Resolution via Particle Swarm Optimization Variants , 2018 .

[24]  Olivier Poch,et al.  A comprehensive comparison of multiple sequence alignment programs , 1999, Nucleic Acids Res..

[25]  Chang Wook Ahn,et al.  A genetic algorithm for shortest path routing problem and the sizing of populations , 2002, IEEE Trans. Evol. Comput..

[26]  Ling Chen,et al.  An Efficient Ant Colony Algorithm for Multiple Sequences Alignment , 2007, Third International Conference on Natural Computation (ICNC 2007).

[27]  Miguel A. Vega-Rodríguez,et al.  Hybrid multiobjective artificial bee colony for multiple sequence alignment , 2016, Appl. Soft Comput..

[28]  M Hernández-Guía,et al.  Simulated annealing algorithm for the multiple sequence alignment problem: the approach of polymers in a random medium. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[29]  Yang Zhang,et al.  DeepMSA: constructing deep multiple sequence alignment to improve contact prediction and fold-recognition for distant-homology proteins , 2019, Bioinform..

[30]  S. Siva Sathya,et al.  Nomadic genetic algorithm for multiple sequence alignment (MSANGA) , 2009 .

[31]  Fred Glover,et al.  Tabu Search - Part II , 1989, INFORMS J. Comput..