ARP: asexual reproduction programming

Recently meta-heuristic techniques have attracted more attention. Algorithms based on Bio-inspired problems are among the most popular techniques of this field. In meta-heuristic algorithms, Geneti...

[1]  Mengjie Zhang,et al.  Improving feature ranking for biomarker discovery in proteomics mass spectrometry data using genetic programming , 2014, Connect. Sci..

[2]  D. Y. Sha,et al.  A hybrid particle swarm optimization for job shop scheduling problem , 2006, Comput. Ind. Eng..

[3]  Taha Mansouri,et al.  ARO: A new model-free optimization algorithm inspired from asexual reproduction , 2010, Appl. Soft Comput..

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

[5]  Colin G. Johnson,et al.  Semantically driven crossover in genetic programming , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

[6]  Mengjie Zhang,et al.  Genetic programming for detecting target motions , 2012, Connect. Sci..

[7]  Lothar M. Schmitt,et al.  Asymptotic Convergence of Scaled Genetic Algorithms to Global Optima , 2004 .

[8]  Michael O'Neill,et al.  Genetic Programming and Evolvable Machines Manuscript No. Semantically-based Crossover in Genetic Programming: Application to Real-valued Symbolic Regression , 2022 .

[9]  Mohammad Bagher Menhaj,et al.  Structure Learning in Bayesian Networks Using Asexual Reproduction Optimization , 2011 .

[10]  Rubén Morales-Menéndez,et al.  Process-Monitoring-for-Quality - A Model Selection Criterion for Genetic Programming , 2019, EMO.

[11]  Hitoshi Iba,et al.  GP-RVM: Genetic Programing-Based Symbolic Regression Using Relevance Vector Machine , 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

[12]  Lothar M. Schmitt,et al.  Convergence to global optima for genetic programming systems with dynamically scaled operators , 2006, GECCO '06.

[13]  R. Eubank Nonparametric Regression and Spline Smoothing , 1999 .

[14]  Dorothea Heiss-Czedik,et al.  An Introduction to Genetic Algorithms. , 1997, Artificial Life.

[15]  D. Dasgupta Artificial Immune Systems and Their Applications , 1998, Springer Berlin Heidelberg.

[16]  Krzysztof Krawiec,et al.  Multiple regression genetic programming , 2014, GECCO.

[17]  Gary Montague,et al.  Genetic programming: an introduction and survey of applications , 1997 .

[18]  Mengjie Zhang,et al.  Using genetic programming for context-sensitive feature scoring in classification problems , 2011, Connect. Sci..

[19]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[20]  Helio J. C. Barbosa,et al.  Symbolic regression via genetic programming , 2000, Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks.

[21]  Simone Bianco,et al.  Combination of Video Change Detection Algorithms by Genetic Programming , 2017, IEEE Transactions on Evolutionary Computation.

[22]  Masanori Suganuma,et al.  A genetic programming approach to designing convolutional neural network architectures , 2017, GECCO.

[23]  Lawrence J. Fogel,et al.  Artificial Intelligence through Simulated Evolution , 1966 .

[24]  Francisco Herrera,et al.  A Survey on the Application of Genetic Programming to Classification , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[25]  Ingo Rechenberg,et al.  Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .

[26]  Katya Rodríguez Vázquez,et al.  Symbolic regression problems by Genetic Programming with multi-branches , 2004 .

[27]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[28]  Taha Mansouri,et al.  ARO: A new model free optimization algorithm for real time applications inspired by the asexual reproduction , 2011, Expert Syst. Appl..

[29]  H. P. Schwefel,et al.  Numerische Optimierung von Computermodellen mittels der Evo-lutionsstrategie , 1977 .

[30]  Manuel López-Ibáñez,et al.  Ant colony optimization , 2010, GECCO '10.