Quantum‐inspired genetic programming model with application to predict toxicity degree for chemical compounds

[1]  Dirk Wiesmann,et al.  Metric Based Evolutionary Algorithms , 2000, EuroGP.

[2]  Keith Phalp,et al.  An investigation of machine learning based prediction systems , 2000, J. Syst. Softw..

[3]  Ferenc Szeifert,et al.  Genetic programming for the identification of nonlinear input-output models , 2005 .

[4]  John Geraghty,et al.  Genetic Algorithm Performance with Different Selection Strategies in Solving TSP , 2011 .

[5]  Zun-Quan Xia,et al.  ABS algorithms for linear equations and optimization , 2000 .

[6]  Ashok K. Sharma,et al.  ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches , 2017, Front. Pharmacol..

[7]  N. Thomaidis,et al.  Prediction of acute toxicity of emerging contaminants on the water flea Daphnia magna by Ant Colony Optimization-Support Vector Machine QSTR models. , 2017, Environmental science. Processes & impacts.

[8]  Chi-Yuan Chen,et al.  Quantum-inspired algorithm for cyber-physical visual surveillance deployment systems , 2017, Comput. Networks.

[9]  Haralambos Sarimveis,et al.  Prediction of toxicity using a novel RBF neural network training methodology , 2006, Journal of molecular modeling.

[10]  Liliane Mouawad,et al.  vSDC: a method to improve early recognition in virtual screening when limited experimental resources are available , 2016, Journal of Cheminformatics.

[11]  Mark T. D. Cronin,et al.  Multivariate Discrimination between Modes of Toxic Action of Phenols , 2002 .

[12]  Gul Muhammad Khan,et al.  Fast learning neural networks using Cartesian genetic programming , 2013, Neurocomputing.

[13]  M. M. Hadhoud,et al.  Quantum crossover based quantum genetic algorithm for solving non-linear programming , 2012, 2012 8th International Conference on Informatics and Systems (INFOS).

[14]  Andrew W. Cross,et al.  Demonstration of quantum advantage in machine learning , 2015, npj Quantum Information.

[15]  Miran Brezocnik,et al.  Comparison Between Genetic Algorithm and Genetic Programming Approach for Modeling the Stress Distribution , 2005 .

[16]  Dilek İmren Koç,et al.  A genetic programming-based QSPR model for predicting solubility parameters of polymers , 2015 .

[17]  Mark T D Cronin,et al.  Comparative assessment of methods to develop QSARs for the prediction of the toxicity of phenols to Tetrahymena pyriformis. , 2002, Chemosphere.

[18]  Salim Chikhi,et al.  Comparison of genetic algorithm and quantum genetic algorithm , 2012, Int. Arab J. Inf. Technol..

[19]  Anita Young,et al.  Genetic Programming for the Induction of Decision Trees to Model Ecotoxicity Data , 2005, J. Chem. Inf. Model..

[20]  Mohamed Fakir,et al.  QSAR models for prediction study of HIV protease inhibitors using support vector machines, neural networks and multiple linear regression , 2017 .

[21]  Asoke K. Nandi,et al.  Feature generation using genetic programming with application to fault classification , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[22]  Günter Klambauer,et al.  DeepTox: Toxicity Prediction using Deep Learning , 2016, Front. Environ. Sci..

[23]  Richard Dashwood,et al.  Artificial Neural Network (ANN) based microstructural prediction model for 22MnB5 boron steel during tailored hot stamping , 2017 .

[24]  Zhengqing Yun,et al.  Comparative study of genetic programming vs. neural networks for the classification of buried objects , 2009, 2009 IEEE Antennas and Propagation Society International Symposium.

[25]  Hao Wu,et al.  Hybrid genetic algorithm based on quantum computing for numerical optimization and parameter estimation , 2005, Appl. Math. Comput..

[26]  Mehrorang Ghaedi,et al.  Rapid and high-capacity ultrasonic assisted adsorption of ternary toxic anionic dyes onto MOF-5-activated carbon: Artificial neural networks, partial least squares, desirability function and isotherm and kinetic study. , 2017, Ultrasonics sonochemistry.

[27]  B. Firdaus Begam,et al.  A Study on Cheminformatics and its Applications on Modern Drug Discovery , 2012 .

[28]  Leonardo Vanneschi,et al.  Open issues in genetic programming , 2010, Genetic Programming and Evolvable Machines.