Genetic Programming Bibliography entries for Mohammad Mehdi Ebadzadeh
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GP coauthors/coeditors:
Mehrdad Alizadeh,
Maryam Amir Haeri,
Gianluigi Folino,
Mohaddeseh Koosha,
Ghazaleh Khodabandelou,
Samaneh Sadat Mousavi Astarabadi,
Naser NourAshrafoddin,
Ali Vahdat,
Zahra Zojaji,
Hamid Nasiri,
Genetic Programming Articles by Mohammad Mehdi Ebadzadeh
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Mohaddeseh Koosha and Ghazaleh Khodabandelou and Mohammad Mehdi Ebadzadeh.
A hierarchical estimation of multi-modal distribution programming for regression problems.
Knowledge-Based Systems, 260:110129, 2023.
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Zahra Zojaji and Mohammad Mehdi Ebadzadeh and Hamid Nasiri.
Semantic schema based genetic programming for symbolic regression.
Applied Soft Computing, 122:108825, 2022.
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Samaneh Sadat Mousavi Astarabadi and Mohammad Mehdi Ebadzadeh.
Genetic programming performance prediction and its application for symbolic regression problems.
Information Sciences, 502:418-433, 2019.
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Zahra Zojaji and Mohammad Mehdi Ebadzadeh.
An improved semantic schema modeling for genetic programming.
Soft Computing, 22(10):3237-3260, 2018.
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Zahra Zojaji and Mohammad Mehdi Ebadzadeh.
Semantic schema modeling for genetic programming using clustering of building blocks.
Applied Intelligence, 48(6):1442-1460, 2018.
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Samaneh Sadat Mousavi Astarabadi and Mohammad Mehdi Ebadzadeh.
A decomposition method for symbolic regression problems.
Applied Soft Computing, 62:514-523, 2018.
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Maryam Amir Haeri and Mohammad Mehdi Ebadzadeh and Gianluigi Folino.
Statistical genetic programming for symbolic regression.
Applied Soft Computing, 60:447-469, 2017.
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Zahra Zojaji and Mohammad Mehdi Ebadzadeh.
Semantic schema theory for genetic programming.
Applied Intelligence, 44(1):67-87, 2016.
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Maryam Amir Haeri and Mohammad Mehdi Ebadzadeh and Gianluigi Folino.
Improving GP generalization: a variance-based layered learning approach.
Genetic Programming and Evolvable Machines, 16(1):27-55, 2015.
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Genetic Programming conference papers by Mohammad Mehdi Ebadzadeh
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Samaneh Sadat Mousavi Astarabadi and Mohammad Mehdi Ebadzadeh.
Avoiding Overfitting in Symbolic Regression Using the First Order Derivative of GP Trees. In
Sara Silva and Anna I Esparcia-Alcazar and Manuel Lopez-Ibanez and Sanaz Mostaghim and Jon Timmis and Christine Zarges and Luis Correia and Terence Soule and Mario Giacobini and Ryan Urbanowicz and Youhei Akimoto and Tobias Glasmachers and Francisco Fernandez de Vega and Amy Hoover and Pedro Larranaga and Marta Soto and Carlos Cotta and Francisco B. Pereira and Julia Handl and Jan Koutnik and Antonio Gaspar-Cunha and Heike Trautmann and Jean-Baptiste Mouret and Sebastian Risi and Ernesto Costa and Oliver Schuetze and Krzysztof Krawiec and Alberto Moraglio and Julian F. Miller and Pawel Widera and Stefano Cagnoni and JJ Merelo and Emma Hart and Leonardo Trujillo and Marouane Kessentini and Gabriela Ochoa and Francisco Chicano and Carola Doerr editors,
GECCO Companion '15: Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, pages 1441-1442, Madrid, Spain, 2015. ACM.
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Mehrdad Alizadeh and Mohammad Mehdi Ebadzadeh.
Kernel evolution for support vector classification. In
IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS 2011), pages 93-99, Paris, 2011.
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Naser NourAshrafoddin and Ali R. Vahdat and Mohammad Mehdi Ebadzadeh.
Automatic Design of Modular Neural Networks Using Genetic Programming. In
Joaquim Marques de S\'a and Lu\'is A. Alexandre and Wlodzislaw Duch and Danilo P. Mandic editors,
Proceedings of the 17th International Conference on Artificial Neural Networks, ICANN 2007, Part I, volume 4668, pages 788-798, Porto, Portugal, 2007. Springer.
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Genetic Programming book chapters by Mohammad Mehdi Ebadzadeh