Genetic Programming Bibliography entries for Yevgeniya Kovalchuk

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.7831

GP coauthors/coeditors: Alexandros Agapitos, Matthew Dyson, Simon M Lucas, Maria Fasli, Aliyu Sani Sambo, R Muhammad Atif Azad, Vivek Padmanaabhan Indramohan, Hanifa Shah,

Genetic Programming Articles by Yevgeniya Kovalchuk

Genetic Programming PhD doctoral thesis Yevgeniya Kovalchuk

Genetic Programming conference papers by Yevgeniya Kovalchuk

  1. Aliyu Sani Sambo and R. Muhammad Atif Azad and Yevgeniya Kovalchuk and Vivek Padmanaabhan Indramohan and Hanifa Shah. Improving the Generalisation of Genetic Programming Models with Evaluation Time and Asynchronous Parallel Computing. In Francisco Chicano and Alberto Tonda and Krzysztof Krawiec and Marde Helbig and Christopher W. Cleghorn and Dennis G. Wilson and Georgios Yannakakis and Luis Paquete and Gabriela Ochoa and Jaume Bacardit and Christian Gagne and Sanaz Mostaghim and Laetitia Jourdan and Oliver Schuetze and Petr Posik and Carlos Segura and Renato Tinos and Carlos Cotta and Malcolm Heywood and Mengjie Zhang and Leonardo Trujillo and Risto Miikkulainen and Bing Xue and Aneta Neumann and Richard Allmendinger and Fuyuki Ishikawa and Inmaculada Medina-Bulo and Frank Neumann and Andrew M. Sutton editors, Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion, pages 265-266, internet, 2021. Association for Computing Machinery. details

  2. Aliyu Sani Sambo and R. Muhammad Atif Azad and Yevgeniya Kovalchuk and Vivek Padmanaabhan Indramohan and Hanifa Shah. Leveraging Asynchronous Parallel Computing to Produce Simple Genetic Programming Computational Models. In Federico Divina and Miguel Garcia Torres editors, The 35th ACM/SIGAPP Symposium On Applied Computing, pages 521-528, Brno, Czech Republic, 2020. ACM. details

  3. Aliyu Sani Sambo and R. Muhammad Atif Azad and Yevgeniya Kovalchuk and Vivek Padmanaabhan Indramohan and Hanifa Shah. Feature Engineering for Improving Robustness of Crossover in Symbolic Regression. In Richard Allmendinger and Hugo Terashima Marin and Efren Mezura Montes and Thomas Bartz-Beielstein and Bogdan Filipic and Ke Tang and David Howard and Emma Hart and Gusz Eiben and Tome Eftimov and William La Cava and Boris Naujoks and Pietro Oliveto and Vanessa Volz and Thomas Weise and Bilel Derbel and Ke Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Rui Wang and Ran Cheng and Guohua Wu and Miqing Li and Hisao Ishibuchi and Jonathan Fieldsend and Ozgur Akman and Khulood Alyahya and Juergen Branke and John R. Woodward and Daniel R. Tauritz and Marco Baioletti and Josu Ceberio Uribe and John McCall and Alfredo Milani and Stefan Wagner and Michael Affenzeller and Bradley Alexander and Alexander (Sandy) Brownlee and Saemundur O. Haraldsson and Markus Wagner and Nayat Sanchez-Pi and Luis Marti and Silvino Fernandez Alzueta and Pablo Valledor Pellicer and Thomas Stuetzle and Matthew Johns and Nick Ross and Ed Keedwell and Herman Mahmoud and David Walker and Anthony Stein and Masaya Nakata and David Paetzel and Neil Vaughan and Stephen Smith and Stefano Cagnoni and Robert M. Patton and Ivanoe De Falco and Antonio Della Cioppa and Umberto Scafuri and Ernesto Tarantino and Akira Oyama and Koji Shimoyama and Hemant Kumar Singh and Kazuhisa Chiba and Pramudita Satria Palar and Alma Rahat and Richard Everson and Handing Wang and Yaochu Jin and Erik Hemberg and Riyad Alshammari and Tokunbo Makanju and Fuijimino-shi and Ivan Zelinka and Swagatam Das and Ponnuthurai Nagaratnam and Roman Senkerik editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, pages 249-250, internet, 2020. Association for Computing Machinery. details

  4. Aliyu Sani Sambo and R. Muhammad Atif Azad and Yevgeniya Kovalchuk and Vivek Padmanaabhan Indramohan and Hanifa Shah. Time Control or Size Control? Reducing Complexity and Improving Accuracy of Genetic Programming Models. In Ting Hu and Nuno Lourenco and Eric Medvet editors, EuroGP 2020: Proceedings of the 23rd European Conference on Genetic Programming, volume 12101, pages 195-210, Seville, Spain, 2020. Springer Verlag. details

  5. Yevgeniya Kovalchuk. Seller's Strategies for Predicting Winning Bid Prices in Online Auctions. In International Conference on Computational Intelligence for Modelling Control Automation, pages 1-6, 2008. details

  6. Alexandros Agapitos and Matthew Dyson and Jenya Kovalchuk and Simon Mark Lucas. On the genetic programming of time-series predictors for supply chain management. In Maarten Keijzer and Giuliano Antoniol and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Nikolaus Hansen and John H. Holmes and Gregory S. Hornby and Daniel Howard and James Kennedy and Sanjeev Kumar and Fernando G. Lobo and Julian Francis Miller and Jason Moore and Frank Neumann and Martin Pelikan and Jordan Pollack and Kumara Sastry and Kenneth Stanley and Adrian Stoica and El-Ghazali Talbi and Ingo Wegener editors, GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation, pages 1163-1170, Atlanta, GA, USA, 2008. ACM. details