Genetic Programming Bibliography entries for Laura Diosan

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GP coauthors/coeditors: Mihai Oltean, Alexandrina Rogozan, Jean Pierre Pecuchet, Anca Andreica, Oana Muntean, Crina Grosan, Cristina Mihaila,

Genetic Programming Articles by Laura Diosan

  1. Laura Diosan and Anca Andreica. Multi-objective breast cancer classification by using multi-expression programming. Appl. Intell, 43(3):499-511, 2015. details

  2. Laura Diosan and Alexandrina Rogozan and Jean Pierre Pecuchet. Learning SVM with Complex Multiple Kernels Evolved by Genetic Programming. International Journal on Artificial Intelligence Tools, 19(5):647-677, 2010. details

  3. Mihai Oltean and Crina Grosan and Laura Diosan and Cristina Mihaila. Genetic Programming with Linear Representation: a Survey. International Journal on Artificial Intelligence Tools, 18(2):197-238, 2009. details

  4. Mihai Oltean and Laura Diosan. An autonomous GP-based system for regression and classification problems. Applied Soft Computing, 9(1):49-60, 2009. details

  5. Laura Diosan and Mihai Oltean. Evolutionary design of Evolutionary Algorithms. Genetic Programming and Evolvable Machines, 10(3):263-306, 2009. details

Genetic Programming conference papers by Laura Diosan

  1. Laura Diosan and Alexandrina Rogozan and Jean-Pierre Pecuchet. Optimising Multiple Kernels for SVM by Genetic Programming. In Jano I. van Hemert and Carlos Cotta editors, Proceedings of the 8th European Conference, Evolutionary Computation in Combinatorial Optimization, EvoCOP, volume 4972, pages 230-241, Naples, Italy, 2008. Springer. details

  2. Laura Diosan and Alexandrina Rogozan and Jean-Pierre Pecuchet. Evolving kernel functions for SVMs by genetic programming. In Sixth International Conference on Machine Learning and Applications, ICMLA 2007, pages 19-24, Cincinnati, Ohio, USA, 2007. IEEE. details

  3. Oana Muntean and Laura Diosan and Mihai Oltean. Solving the even-n-parity problems using Best SubTree Genetic Programming. In Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), pages 511-518, Edinburgh, 2007. IEEE. details

  4. Laura Diosan and Mihai Oltean and Alexandrina Rogozan and Jean Pierre Pecuchet. Genetically designed multiple-kernels for improving the SVM performance. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1873-1873, London, 2007. ACM Press. details

  5. Oana Muntean and Laura Diosan and Mihai Oltean. Best SubTree genetic programming. In Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener editors, GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation, volume 2, pages 1667-1673, London, 2007. ACM Press. details

  6. Laura Dio\csan and Mihai Oltean. Evolving crossover operators for function optimization. In Pierre Collet and Marco Tomassini and Marc Ebner and Steven Gustafson and Anik\'o Ek\'art editors, Proceedings of the 9th European Conference on Genetic Programming, volume 3905, pages 97-108, Budapest, Hungary, 2006. Springer. details