Genetic Programming Bibliography entries for Yi Mei

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GP coauthors/coeditors: Qi Chen, Bing Xue, Mengjie Zhang, Alexandre Sawczuk da Silva, Hui Ma, Josiah Jacobsen-Grocott, Gang Chen2, Deepak Karunakaran, Gang Chen, Yuxin Liu, Zili Zhang, Atiya Masood, Xiaodong Li, Flora Salim, Xin Yao, Su Nguyen, Aaron Chen, John Park, Michael Riley, Jing Xie, Andreas Ernst, Andy Song, Longfei Yan, Daniel Yska,

Genetic Programming Articles by Yi Mei

  1. John Park and Yi Mei and Su Nguyen and Gang Chen and Mengjie Zhang. An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling. Appl. Soft Comput, 63:72-86, 2018. details

  2. Su Nguyen and Yi Mei and Mengjie Zhang. Guest editorial: special issue on automated design and adaptation of heuristics for scheduling and combinatorial optimisation. Genetic Programming and Evolvable Machines, 19(1-2):5-7, 2018. details

  3. Yi Mei and Su Nguyen and Bing Xue and Mengjie Zhang. An Efficient Feature Selection Algorithm for Evolving Job Shop Scheduling Rules With Genetic Programming. IEEE Transactions on Emerging Topics in Computational Intelligence, 1(5):339-353, 2017. details

  4. Su Nguyen and Yi Mei and Bing Xue and Mengjie Zhang. A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules. Evolutionary Computation. Forthcoming. details

Genetic Programming conference papers by Yi Mei

  1. Daniel Yska and Yi Mei and Mengjie Zhang. Feature construction in genetic programming hyper-heuristic for dynamic flexible job shop scheduling. In Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 149-150, Kyoto, Japan, 2018. ACM. details

  2. Daniel Yska and Yi Mei and Mengjie Zhang. Genetic Programming Hyper-heuristic with Cooperative Coevolution for Dynamic Flexible Job Shop Scheduling. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 306-321, Parma, Italy, 2018. Springer Verlag. details

  3. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Investigating a Machine Breakdown Genetic Programming Approach for Dynamic Job Shop Scheduling. In Mauro Castelli and Lukas Sekanina and Mengjie Zhang and Stefano Cagnoni and Pablo Garcia-Sanchez editors, EuroGP 2018: Proceedings of the 21st European Conference on Genetic Programming, volume 10781, pages 253-270, Parma, Italy, 2018. Springer Verlag. details

  4. Yi Mei and Mengjie Zhang. Genetic programming hyper-heuristic for multi-vehicle uncertain capacitated arc routing problem. In Carlos Cotta and Tapabrata Ray and Hisao Ishibuchi and Shigeru Obayashi and Bogdan Filipic and Thomas Bartz-Beielstein and Grant Dick and Masaharu Munetomo and Silvino Fernandez Alzueta and Thomas Stuetzle and Pablo Valledor Pellicer and Manuel Lopez-Ibanez and Daniel R. Tauritz and Pietro S. Oliveto and Thomas Weise and Borys Wrobel and Ales Zamuda and Anne Auger and Julien Bect and Dimo Brockhoff and Nikolaus Hansen and Rodolphe Le Riche and Victor Picheny and Bilel Derbel and Ke Li and Hui Li and Xiaodong Li and Saul Zapotecas and Qingfu Zhang and Stephane Doncieux and Richard Duro and Joshua Auerbach and Harold de Vladar and Antonio J. Fernandez-Leiva and JJ Merelo and Pedro A. Castillo-Valdivieso and David Camacho-Fernandez and Francisco Chavez de la O and Ozgur Akman and Khulood Alyahya and Juergen Branke and Kevin Doherty and Jonathan Fieldsend and Giuseppe Carlo Marano and Nikos D. Lagaros and Koichi Nakayama and Chika Oshima and Stefan Wagner and Michael Affenzeller and Boris Naujoks and Vanessa Volz and Tea Tusar and Pascal Kerschke and Riyad Alshammari and Tokunbo Makanju and Brad Alexander and Saemundur O. Haraldsson and Markus Wagner and John R. Woodward and Shin Yoo and John McCall and Nayat Sanchez-Pi and Luis Marti and Danilo Vasconcellos and Masaya Nakata and Anthony Stein and Nadarajen Veerapen and Arnaud Liefooghe and Sebastien Verel and Gabriela Ochoa and Stephen L. Smith and Stefano Cagnoni and Robert M. Patton and William La Cava and Randal Olson and Patryk Orzechowski and Ryan Urbanowicz and Ivanoe De Falco and Antonio Della Cioppa and Ernesto Tarantino and Umberto Scafuri and P. G. M. Baltus and Giovanni Iacca and Ahmed Hallawa and Anil Yaman and Alma Rahat and Handing Wang and Yaochu Jin and David Walker and Richard Everson and Akira Oyama and Koji Shimoyama and Hemant Kumar and Kazuhisa Chiba and Pramudita Satria Palar editors, GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion, pages 141-142, Kyoto, Japan, 2018. ACM. details

  5. Yi Mei and Mengjie Zhang. Genetic Programming Hyper-heuristic for Stochastic Team Orienteering Problem with Time Windows. In Marley Vellasco editor, 2018 IEEE Congress on Evolutionary Computation (CEC), Rio de Janeiro, Brazil, 2018. IEEE. details

  6. Atiya Masood and Gang Chen2 and Yi Mei and Mengjie Zhang. Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. In Arnaud Liefooghe and Manuel Lopez-Ibanez editors, The 18th European Conference on Evolutionary Computation in Combinatorial Optimisation, EvoCOP 2018, volume 10782, page 116–-131, Parma, Italy, 2018. Springer. details

  7. Deepak Karunakaran and Yi Mei and Gang Chen and Mengjie Zhang. Sampling Heuristics for Multi-Objective Dynamic Job Shop Scheduling Using Island Based Parallel Genetic Programming. In Anne Auger and Carlos M. Fonseca and Nuno Lourenco and Penousal Machado and Luis Paquete and Darrell Whitley editors, 15th International Conference on Parallel Problem Solving from Nature, volume 11102, pages 347-359, Coimbra, Portugal, 2018. Springer. details

  8. Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang. Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 364-371, Donostia, San Sebastian, Spain, 2017. IEEE. details

  9. Josiah Jacobsen-Grocott and Yi Mei and Gang Chen2 and Mengjie Zhang. Evolving heuristics for Dynamic Vehicle Routing with Time Windows using genetic programming. In Jose A. Lozano editor, 2017 IEEE Congress on Evolutionary Computation (CEC), pages 1948-1955, Donostia, San Sebastian, Spain, 2017. IEEE. details

  10. Alexandre Sawczuk da Silva and Yi Mei and Hui Ma and Mengjie Zhang. Fragment-based Genetic Programming for Fully Automated Multi-objective Web Service Composition. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 353-360, Berlin, Germany, 2017. ACM. details

  11. Yi Mei and Su Nguyen and Mengjie Zhang. Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling. In Yuhui Shi and Kay Chen Tan and Mengjie Zhang and Ke Tang and Xiaodong Li and Qingfu Zhang and Ying Tan and Martin Middendorf and Yaochu Jin editors, Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Shenzhen, China, November 10-13, 2017, Proceedings, volume 10593, pages 435-447, 2017. Springer. details

  12. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Investigating the Generality of Genetic Programming Based Hyper-heuristic Approach to Dynamic Job Shop Scheduling with Machine Breakdown. In Markus Wagner and Xiaodong Li and Tim Hendtlass editors, Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings, volume 10142, pages 301-313, 2017. details

  13. Atiya Masood and Yi Mei and Gang Chen2 and Mengjie Zhang. A PSO-Based Reference Point Adaption Method for Genetic Programming Hyper-Heuristic in Many-Objective Job Shop Scheduling. In Markus Wagner and Xiaodong Li and Tim Hendtlass editors, Artificial Life and Computational Intelligence - Third Australasian Conference, ACALCI 2017, Geelong, VIC, Australia, January 31 - February 2, 2017, Proceedings, volume 10142, pages 326-338, 2017. details

  14. Yi Mei and Su Nguyen and Mengjie Zhang. Evolving Time-Invariant Dispatching Rules in Job Shop Scheduling with Genetic Programming. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 147-163, Amsterdam, 2017. Springer Verlag. details

  15. Yuxin Liu and Yi Mei and Mengjie Zhang and Zili Zhang. Automated Heuristic Design Using Genetic Programming Hyper-heuristic for Uncertain Capacitated Arc Routing Problem. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 290-297, Berlin, Germany, 2017. ACM. details

  16. Deepak Karunakaran and Yi Mei and Gang Chen2 and Mengjie Zhang. Toward Evolving Dispatching Rules for Dynamic Job Shop Scheduling Under Uncertainty. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 282-289, Berlin, Germany, 2017. ACM. details

  17. Qi Chen and Bing Xue and Yi Mei and Mengjie Zhang. Geometric Semantic Crossover with an Angle-aware Mating Scheme in Genetic Programming for Symbolic Regression. In Mauro Castelli and James McDermott and Lukas Sekanina editors, EuroGP 2017: Proceedings of the 20th European Conference on Genetic Programming, volume 10196, pages 229-245, Amsterdam, 2017. Springer Verlag. details

  18. Longfei Yan and Yi Mei and Hui Ma and Mengjie Zhang. Evolutionary Web Service Composition: A Graph-based Memetic Algorithm. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 201-208, Vancouver, 2016. IEEE Press. details

  19. Michael Riley and Yi Mei and Mengjie Zhang. Improving Job Shop Dispatching Rules via Terminal Weighting and Adaptive Mutation in Genetic Programming. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3362-3369, Vancouver, 2016. IEEE Press. details

  20. John Park and Yi Mei and Gang Chen2 and Mengjie Zhang. Niching Genetic Programming based Hyper-heuristic Approach to Dynamic Job Shop Scheduling: An Investigation into Distance Metrics. In Tobias Friedrich and Frank Neumann and Andrew M. Sutton and Martin Middendorf and Xiaodong Li and Emma Hart and Mengjie Zhang and Youhei Akimoto and Peter A. N. Bosman and Terry Soule and Risto Miikkulainen and Daniele Loiacono and Julian Togelius and Manuel Lopez-Ibanez and Holger Hoos and Julia Handl and Faustino Gomez and Carlos M. Fonseca and Heike Trautmann and Alberto Moraglio and William F. Punch and Krzysztof Krawiec and Zdenek Vasicek and Thomas Jansen and Jim Smith and Simone Ludwig and JJ Merelo and Boris Naujoks and Enrique Alba and Gabriela Ochoa and Simon Poulding and Dirk Sudholt and Timo Koetzing editors, GECCO '16 Companion: Proceedings of the Companion Publication of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 109-110, Denver, USA, 2016. ACM. details

  21. John Park and Yi Mei and Su Nguyen and Gang Chen2 and Mengjie Zhang. Genetic Programming based Hyper-heuristics for Dynamic Job Shop Scheduling: Cooperative Coevolutionary Approaches. In Malcolm I. Heywood and James McDermott and Mauro Castelli and Ernesto Costa and Kevin Sim editors, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming, volume 9594, pages 115-132, Porto, Portugal, 2016. Springer Verlag. details

  22. Su Nguyen and Yi Mei and Hui Ma and Aaron Chen and Mengjie Zhang. Evolutionary Scheduling and Combinatorial Optimisation: Applications, Challenges, and Future Directions. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3053-3060, Vancouver, 2016. IEEE Press. details

  23. Yi Mei and Mengjie Zhang and Su Nguyen. Feature Selection in Evolving Job Shop Dispatching Rules with Genetic Programming. In Tobias Friedrich editor, GECCO '16: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation, pages 365-372, Denver, USA, 2016. ACM. details

  24. Yi Mei and Mengjie Zhang. A Comprehensive Analysis on Reusability of GP-Evolved Job Shop Dispatching Rules. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 3590-3597, Vancouver, 2016. IEEE Press. details

  25. Atiya Masood and Yi Mei and Gang Chen2 and Mengjie Zhang. Many-Objective Genetic Programming for Job-Shop Scheduling. In Yew-Soon Ong editor, Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016), pages 209-216, Vancouver, 2016. IEEE Press. details

  26. Jing Xie and Yi Mei and Andy Song. Evolving Self-Adaptive Tabu Search Algorithm for Storage Location Assignment Problems. In Dirk Sudholt editor, GECCO 2015 Late-Breaking Abstracts, pages 779-780, Madrid, Spain, 2015. ACM. details

  27. Jing Xie and Yi Mei and Andreas T. Ernst and Xiaodong Li and Andy Song. A restricted neighbourhood Tabu Search for Storage Location Assignment Problem. In 2015 IEEE Congress on Evolutionary Computation (CEC), pages 2805-2812, 2015. details

  28. Yi Mei and Xiaodong Li and Flora Salim and Xin Yao. Heuristic Evolution with Genetic Programming for Traveling Thief Problem. In Yadahiko Murata editor, Proceedings of 2015 IEEE Congress on Evolutionary Computation (CEC 2015), pages 2753-2760, Sendai, Japan, 2015. IEEE Press. details

  29. Jing Xie and Yi Mei and Andreas T. Ernst and Xiaodong Li and Andy Song. Scaling Up Solutions to Storage Location Assignment Problems by Genetic Programming. In Grant Dick and Will N. Browne and Peter A. Whigham and Mengjie Zhang and Lam Thu Bui and Hisao Ishibuchi and Yaochu Jin and Xiaodong Li and Yuhui Shi and Pramod Singh and Kay Chen Tan and Ke Tang editors, Simulated Evolution and Learning - 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, 2014. Proceedings, volume 8886, pages 691-702, 2014. Springer. details

  30. Jing Xie and Yi Mei and Andreas Ernst and Xiaodong Li and Andy Song. A Genetic Programming-Based Hyper-heuristic Approach for Storage Location Assignment Problem. In Carlos A. Coello Coello editor, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, pages 3000-3007, Beijing, China, 2014. details