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ORCIDGenetic Programming and Evolvable Machines, Volume 16
Volume 16, Number 1, March 2015
- Lee Spector:
Editorial introduction. 1-2 - Ji Ni, Peter I. Rockett:
Training genetic programming classifiers by vicinal-risk minimization. 3-25 - Maryam Amir Haeri, Mohammad Mehdi Ebadzadeh
, Gianluigi Folino:
Improving GP generalization: a variance-based layered learning approach. 27-55 - Mahboobeh Houshmand, Morteza Saheb Zamani, Mehdi Sedighi, Monireh Houshmand:
GA-based approach to find the stabilizers of a given sub-space. 57-71 - Mauro Castelli, Sara Silva, Leonardo Vanneschi:
A C++ framework for geometric semantic genetic programming. 73-81 - Andrew James Turner, Julian Francis Miller:
Introducing a cross platform open source Cartesian Genetic Programming library. 83-91
Volume 16, Number 2, June 2015
- Jonathan Mwaura, Ed Keedwell:
Evolving robot sub-behaviour modules using Gene Expression Programming. 95-131 - Samaneh Yazdani, Jamshid Shanbehzadeh:
Balanced Cartesian Genetic Programming via migration and opposition-based learning: application to symbolic regression. 133-150 - Carlos H. Garcia-Capulin, F. J. Cuevas, Gerardo Trejo-Caballero, Horacio Rostro-González:
A hierarchical genetic algorithm approach for curve fitting with B-splines. 151-166 - David L. González-Álvarez, Miguel A. Vega-Rodríguez, Álvaro Rubio-Largo:
Multiobjective optimization algorithms for motif discovery in DNA sequences. 167-209 - Maryam Baniasadi, Brian J. Ross:
Exploring non-photorealistic rendering with genetic programming. 211-239
Volume 16, Number 3, September 2015
- Rodrigo C. Barros, Márcio P. Basgalupp, André C. P. L. F. de Carvalho:
Investigating fitness functions for a hyper-heuristic evolutionary algorithm in the context of balanced and imbalanced data classification. 241-281 - Malcolm I. Heywood:
Evolutionary model building under streaming data for classification tasks: opportunities and challenges. 283-326 - David F. Barrero, Bonifacio Castaño, María D. R.-Moreno, David Camacho:
A study on Koza's performance measures. 327-349 - Tomasz P. Pawlak, Bartosz Wieloch, Krzysztof Krawiec:
Review and comparative analysis of geometric semantic crossovers. 351-386 - Steve O'Hagan, Douglas B. Kell:
Software review: the KNIME workflow environment and its applications in genetic programming and machine learning. 387-391 - Joel Lehman:
Patricia Vargas, Ezequiel Di Paolo, Inman Harvey, and Phil Husbands (eds), The Horizons of Evolutionary Robotics, The MIT Press, 2014, ISBN: 978-0-262-02676-5, Hardcover book, 302 pages. 393-395 - Lisa Meeden:
Angelo Cangelosi and Matthew Schlesinger: Developmental robotics - MIT Press, 2015. 397-398
Volume 16, Number 4, December 2015
- Mehdi Rezapoor Mirsaleh, Mohammad Reza Meybodi:
A learning automata-based memetic algorithm. 399-453 - Marc-André Gardner, Christian Gagné, Marc Parizeau:
Controlling code growth by dynamically shaping the genotype size distribution. 455-498 - Matej Sprogar:
Prudent alignment and crossover of decision trees in genetic programming. 499-530 - Andrew James Turner, Julian Francis Miller:
Neutral genetic drift: an investigation using Cartesian Genetic Programming. 531-558 - Leonardo Trujillo:
Kenneth O. Stanley and Joel Lehman: Why greatness cannot be planned: the myth of the objective - Springer, 2015, Softcover, ISBN: 978-3-319-15523-4. 559-561
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