Chao Qian, Ke Tang, Zhi-Hua Zhou. Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. In Julia Handl, Emma Hart, Peter R. Lewis, Manuel López-Ibáñez, Gabriela Ochoa, Ben Paechter, editors, Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. Volume 9921 of Lecture Notes in Computer Science, pages 835-846, Springer, 2016. [doi]
@inproceedings{QianTZ16, title = {Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization}, author = {Chao Qian and Ke Tang and Zhi-Hua Zhou}, year = {2016}, doi = {10.1007/978-3-319-45823-6_78}, url = {http://dx.doi.org/10.1007/978-3-319-45823-6_78}, researchr = {https://researchr.org/publication/QianTZ16}, cites = {0}, citedby = {0}, pages = {835-846}, booktitle = {Parallel Problem Solving from Nature - PPSN XIV - 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings}, editor = {Julia Handl and Emma Hart and Peter R. Lewis and Manuel López-Ibáñez and Gabriela Ochoa and Ben Paechter}, volume = {9921}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-319-45822-9}, }