Page History: Evolutionary Computation Related Publication
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Technical Reports
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
Analyzing evolutionary optimization in noisy environments
.
CoRR abs/1311.4987
, 2013.
Yang Yu
, Chao Qian, and Zhi-Hua Zhou.
Towards analyzing crossover operators in evolutionary search via general Markov chain switching theorem
.
CORR abs/1111.0907
, 2011.
Journal Articles
Yang Yu
, Chao Qian, and Zhi-Hua Zhou.
Switch analysis for running time analysis of evolutionary algorithms
.
IEEE Transactions on Evolutionary Computation
, 2015, in press.
(Preprint PDF)
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
An analysis on recombination in multi-objective evolutionary optimization
.
Artificial Intelligence
, 2013, 204:99-119. (Extended from GECCO'11)
(Preprint PDF)
Yang Yu
, Xin Yao, and Zhi-Hua Zhou.
On the approximation ability of evolutionary optimization with application to minimum set cover
.
Artificial Intelligence
, 2012, 180-181:20-33. (
Preprint PDF
) (
CORR abs/1011.4028
)
Yang Yu
and Zhi-Hua Zhou.
A new approach to estimating the expected first hitting time of evolutionary algorithms
.
Artificial Intelligence
, 2008, 172(15): 1809-1832. (Extended from AAAI'06) (
Preprint PDF
)
Conference Papers
Yang Yu
, Chao Qian.
Running Time Analysis: Convergence-based Analysis Reduces to Switch Analysis
.
Proceedings of the 2015 IEEE Congress on Evolutionary Computation (CEC'15)
, Sendai, Japan, 2015. (
PDF
)
Chao Qian,
Yang Yu
and Zhi-Hua Zhou.
Pareto ensemble pruning
.
Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15)
, Austin, TX, 2015.(
PDF
)
Chao Qian,
Yang Yu
, Yaochu Jin and Zhi-Hua Zhou.
On the effectiveness of sampling for evolutionary optimization in noisy environments
.
In: Proceedings of the 13th International Conference on Parallel Problem Solving from Nature (PPSN’14)
, Ljubljana, Slovenia, 2014, pp.302-311. (
PDF
)
Yang Yu
, and Hong Qian.
The sampling-and-learning framework: A statistical view of evolutionary algorithms
. In:
Proceedings of the 2014 IEEE Congress on Evolutionary Computation (CEC'14)
, Beijing, China, 2014, pp.149-158. (
PDF
)
Yang Yu
, Xin Yao, and Zhi-Hua Zhou.
On the approximation ability of evolutionary optimization with application to minimum set cover: Extended abstract
. In:
Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13)
(Journal Paper Track), Beijing, China, 2013.
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
On algorithm-dependent boundary case identification for problem classes
. In:
Proceedings of the 12th International Conference on Parallel Problem Solving from Nature (PPSN'12)
Taormina, Italy, 2012, pp.62-71. (
PDF
)
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
An analysis on recombination in multi-objective evolutionary optimization
. In:
Proceedings of the 13th ACM Conference on Genetic and Evolutionary Computation (GECCO'11)
, Dublin, Ireland, 2011, pp. 2051-2058. (
PDF
)
(This paper won the Best Paper Award of the Theory Track at GECCO'11)
Chao Qian,
Yang Yu
, and Zhi-Hua Zhou.
Collisions are helpful for computing unique input-output sequences
. In:
Proceedings of the 13th ACM Conference on Genetic and Evolutionary Computation (GECCO'11)
(Companion Material/Poster), Dublin, Ireland, 2011, pp. 265-266. (
PDF
)
Yang Yu
, Chao Qian, and Zhi-Hua Zhou.
Towards analyzing recombination operators in evolutionary search
. In:
Proceedings of the 11th International Conference on Parallel Problem Solving from Nature (PPSN'10)
Part I, Krakow, Poland, 2010, pp.144-153. (
PDF
)
Yang Yu
and Zhi-Hua Zhou.
On the usefulness of infeasible solutions in evolutionary search: A theoretical study
. In:
Proceedings of the IEEE Congress on Evolutionary Computation (CEC'08)
, Hong Kong, China, 2008, pp.835-840. (
PDF
)
Yang Yu
and Zhi-Hua Zhou.
A new approach to estimating the expected first hitting time of evolutionary algorithms
. In:
Proceedings of the 21st National Conference on Artificial Intelligence (AAAI'06)
, Boston, MA, 2006, pp.555-560. (
PDF
)
Thesis
Yang Yu
.
Evolutionary Computation: Theoretical Analysis and Learning Algorithms
. Ph.D. Dissertation, 2011.
The end