Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms

Abhinav Gaur, Kalyanmoy Deb. Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms. In Tobias Friedrich, Frank Neumann, Andrew M. Sutton, editors, Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, CO, USA, July 20-24, 2016, Companion Material Proceedings. pages 75-76, ACM, 2016. [doi]

@inproceedings{GaurD16,
  title = {Adaptive Use of Innovization Principles for a Faster Convergence of Evolutionary Multi-Objective Optimization Algorithms},
  author = {Abhinav Gaur and Kalyanmoy Deb},
  year = {2016},
  doi = {10.1145/2908961.2909019},
  url = {http://doi.acm.org/10.1145/2908961.2909019},
  researchr = {https://researchr.org/publication/GaurD16},
  cites = {0},
  citedby = {0},
  pages = {75-76},
  booktitle = {Genetic and Evolutionary Computation Conference, GECCO 2016, Denver, CO, USA, July 20-24, 2016, Companion Material Proceedings},
  editor = {Tobias Friedrich and Frank Neumann and Andrew M. Sutton},
  publisher = {ACM},
  isbn = {978-1-4503-4323-7},
}