Kuo, W.-L., Chang, W.-C., Dai, T.-S., Chen, Y.-p., & Chang, H.-H.
(2022).
Improving pairs trading strategies using two-stage deep learning
methods and analyses of time (in)variant inputs for trading performance.
IEEEAccess, 10, 97030–97046.
doi: 10.1109/ACCESS.2022.3204056.
(SCI, EI).
Handoyo, S., Chen, Y.-p., Irianto, G., & Widodo, A. (2021).
The varying threshold values of logistic regression and linear
discriminant for classifying fraudulent firm.
Mathematics and Statistics, 9(2), 135–143.
doi: 10.13189/ms.2021.090207.
Handoyo, S., & Chen, Y.-p. (2020).
The developing of fuzzy system for multiple time series forecasting
with generated rule bases and optimized consequence part.
International Journal of Engineering Trends and
Technology, 68(12), 118–122.
doi: 10.14445/22315381/IJETT-V68I12P220.
Chang, C.-y., & Chen, Y.-p. (2020).
AntsOMG: A framework aiming to automate creativity and intelligent
behavior with a showcase on cantus firmus composition and style development.
Electronics, 9(8), 1212.
doi: 10.3390/electronics9081212.
(SCI).
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Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2016).
Impacts of task re-execution policy on MapReduce jobs.
The Computer Journal, 59(5), 701–714.
doi: 10.1093/comjnl/bxv105.
(SCI).
Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2015a).
PAReS: A proactive and adaptive redundant system for enhancing
MapReduce job completion reliability and service quality.
Journal of Information Science and Engineering, 31(5), 1775–1793.
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(SCI).
Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2015b).
Analyzing job completion reliability and job energy consumption for a
heterogeneous MapReduce cluster under different intermediate-data
replication policies.
Journal of Supercomputing, 71(5), 1657–1677.
doi: 10.1007/s11227-014-1286-7.
(SCI, EI).
Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2015c).
Impact of MapReduce policies on job completion reliability and
job energy consumption.
IEEE Transactions on Parallel and Distributed Systems, 26(5), 1364–1378.
doi: 10.1109/TPDS.2014.2374600.
(SCI, EI).
Chen, C.-H., & Chen, Y.-p. (2014b).
Quality analysis of discretization methods for estimation of
distribution algorithms.
IEICE Transactions on Information and Systems, E97-D(5), 1312–1323.
doi: 10.1587/transinf.E97.D.1312.
(SCI, EI).
Chen, C.-M., Chen, Y.-p., Shen, T.-C., & Zao, J. K. (2013).
A practical optimization framework for the degree distribution in
LT codes.
IEICE Transactions on Communications, E96-B(11), 2807–2815.
doi: 10.1587/transcom.E96.B.2807.
(SCI, EI).
Lin, J.-C., Leu, F.-Y., & Chen, Y.-p. (2013).
Analyzing job completion reliability and job energy consumption for a
general MapReduce infrastructure.
Journal of High Speed Networks, 19(3), 203–214.
doi: 10.3233/JHS-130473. (EI).
Lin, J.-Y., & Chen, Y.-p. (2013).
Population sizing for inductive linkage identification.
International Journal of Systems Science, 44(1),
1–13.
doi: 10.1080/00207721.2011.577246.
(SCI, EI).
Chen, Y.-p., Chuang, C.-Y., & Huang, Y.-W. (2012).
Inductive linkage identification on building blocks of different
sizes and types.
International Journal of Systems Science, 43(12),
2202–2213.
doi: 10.1080/00207721.2011.566639.
(SCI, EI).
Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2012).
PFRF: An adaptive data replication algorithm based on star-topology
data grids.
Future Generation Computer Systems, 28(7),
1045–1057.
doi: 10.1016/j.future.2011.08.015.
(SCI, EI).
Chen, C.-H., & Chen, Y.-p. (2011).
Convergence time analysis of particle swarm optimization based on
particle interaction.
Advances in Artificial Intelligence, 2011(204750),
1–7.
doi: 10.1155/2011/204750.
Lin, J.-Y., & Chen, Y.-p. (2011).
Analysis on the collaboration between global search and local search
in memetic computation.
IEEE Transactions on Evolutionary Computation, 15(5), 608–623.
doi: 10.1109/TEVC.2011.2150754.
(SCI, EI).
Chuang, C.-Y., & Chen, Y.-p. (2010).
Sensibility of linkage information and effectiveness of estimated
distributions.
Evolutionary Computation, 18(4), 547–579.
doi: 10.1162/EVCO_a_00010.
(SCI, EI).
Chen, Y.-p., & Chen, C.-H. (2010).
Enabling the extended compact genetic algorithm for real-parameter
optimization by using adaptive discretization.
Evolutionary Computation, 18(2), 199–228.
doi: 10.1162/evco.2010.18.2.18202.
(SCI).
Chen, Y.-p., & Jiang, P. (2010).
Analysis on the facet of particle interaction in particle swarm
optimization.
Theoretical Computer Science, 411(21), 2101–2115.
doi: 10.1016/j.tcs.2010.03.003.
(SCI, EI).
Chen, Y.-p., & Lin, Y.-y. (2009).
Controlling the movement of crowds in computer graphics by using the
mechanism of particle swarm optimization.
Applied Soft Computing, 9(3), 1170–1176.
doi: 10.1016/j.asoc.2009.03.004.
(SCI, EI).
Chen, Y.-p., Peng, W.-C., & Jian, M.-c. (2007).
Particle swarm optimization with recombination and dynamic linkage
discovery.
IEEE Transactions on Systems, Man, and Cybernetics–Part B:
Cybernetics, 37(6), 1460–1470.
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(SCI, EI).
Chen, Y.-p., & Goldberg, D. E. (2005).
Convergence time for the linkage learning genetic algorithm.
Evolutionary Computation, 13(3), 279–302.
doi: 10.1162/1063656054794806. (SCI).
Horng, J.-T., Chen, Y.-p., & Kao, C.-Y. (2001).
A theoretical aspect of a stochastic sketching method for global
optimization.
Journal of Information Science and Engineering, 17(1), 47–71.
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(SCI).
Chen, Y.-p., Horng, J.-T., & Kao, C.-Y. (1999).
Stochastic sketching: A new method for global optimization.
Soft Computing, 3(2), 101–110.
doi: 10.1007/s005000050058. (SCI).
Chang, C.-y., & Chen, Y.-p. (2021a).
In the name of creativity: En route to inspiring machines.
In Proceedings of 2021 International Conference on Computational
Creativity (ICCC’21) (pp. 400–404).
GitHub Repo.
Chang, C.-y., & Chen, Y.-p. (2021b).
Contrapuntal composition and autonomous style development of organum
motets by using AntsOMG.
In Proceedings of 2021 IEEE Congress on Evolutionary
Computation (CEC 2021) (pp. 2023–2030).
doi: 10.1109/CEC45853.2021.9504881.
(EI).
GitHub Repo.
Lo, F.-Y., Chen, C.-H., & Chen, Y.-p. (2020).
Shrinking counterexamples in property-based testing with genetic
algorithms.
In Proceedings of 2020 IEEE Congress on Evolutionary
Computation (CEC 2020) (pp. 1–8).
doi: 10.1109/CEC48606.2020.9185807.
(EI).
GitHub Repo.
Lo, F.-Y., Chen, C.-H., & Chen, Y.-p. (2019).
Genetic algorithms as shrinkers in property-based testing.
In Proceedings of 2019 ACMSIGEVO Genetic and Evolutionary
Computation Conference Companion (GECCO’19 Companion) (pp. 291–292).
doi: 10.1145/3319619.3322004.
(EI).
Chang, C.-y., & Chen, Y.-p. (2019).
Fusing creative operations into evolutionary computation for
composition: From a composer’s perspective.
In Proceedings of 2019 IEEE Congress on Evolutionary
Computation (CEC 2019) (pp. 2113–2120).
doi: 10.1109/CEC.2019.8790335.
(EI).
GitHub Repo.
Huang, S.-Y., & Chen, Y.-p. (2017).
Proving theorems by using evolutionary search with human involvement.
In Proceedings of 2017 IEEE Congress on Evolutionary
Computation (CEC 2017) (pp. 1495–1502).
doi: 10.1109/CEC.2017.7969480.
(EI).
GitHub Repo.
Hsu, W.-L., & Chen, Y.-p. (2016).
Learning to select actions in StarCraft with genetic algorithms.
In Proceedings of the 2016 Conference on Technologies and
Applications of Artificial Intelligence (TAAI 2016) (pp. 270–277).
doi: 10.1109/TAAI.2016.7880180.
(EI).
GitHub Repo.
Yang, L.-A., Liu, J.-P., Chen, C.-H., & Chen, Y.-p. (2016).
Automatically proving mathematical theorems with evolutionary
algorithms and proof assistants.
In Proceedings of 2016 IEEE Congress on Evolutionary
Computation (CEC 2016) (pp. 4421–4428).
doi: 10.1109/CEC.2016.7744352.
(EI).
GitHub Repo.
Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2015).
ReMBF: A reliable multicast brute-force co-allocation scheme for
multi-user data grids.
In Proceedings of 2015 IEEE 39th Annual Computer Software and
Applications Conference (COMPSAC 2015), Volume 2 (pp. 774–784).
doi: 10.1109/COMPSAC.2015.34.
(EI).
Tseng, H.-w., & Chen, Y.-p. (2015).
Artistic image processing with cellular automata and evolutionary
algorithms.
In Proceedings of 2015 IEEE Congress on Evolutionary
Computation (CEC 2015) (pp. 2153–2159).
doi: 10.1109/CEC.2015.7257150.
(EI).
GitHub Repo.
Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2014).
Developing a performance-analysis model for a star-topology data grid
from multi-user perspective.
In Proceedings of The 6th IEEE International Conference on
Intelligent Networking and Collaborative Systems (INCoS 2014) (pp.
242–248).
doi: 10.1109/INCoS.2014.83. (EI).
Tsai, P.-C., Chen, C.-M., & Chen, Y.-p. (2014a).
A novel evaluation function for LT codes degree distribution
optimization.
In Proceedings of 2014 IEEE Congress on Evolutionary
Computation (CEC 2014) (pp. 3030–3035).
doi: 10.1109/CEC.2014.6900609.
(EI).
Tsai, P.-C., Chen, C.-M., & Chen, Y.-p. (2014b).
PSO-based evacuation simulation framework.
In Proceedings of 2014 IEEE Congress on Evolutionary
Computation (CEC 2014) (pp. 1944–1950).
doi: 10.1109/CEC.2014.6900600.
(EI).
GitHub Repo.
Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2014).
Cache replacement algorithms for YouTube.
In Proceedings of the 28th IEEE International Conference on
Advanced Information Networking and Applications (AINA-2014) (pp.
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doi: 10.1109/AINA.2014.91. (Best paper
award, EI).
Lin, J.-C., Leu, F.-Y., Chen, Y.-p., & Munawar, W. (2014).
Impact of MapReduce task re-execution policy on job completion
reliability and job completion time.
In Proceedings of the 28th IEEE International Conference on
Advanced Information Networking and Applications (AINA-2014) (pp.
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doi: 10.1109/AINA.2014.87. (EI).
Lee, M.-C., Leu, F.-Y., & Chen, Y.-p. (2013).
TSR: Topology reduction from tree to star data grids.
In Proceedings of the Seventh International Conference on
Innovative Mobile and Internet Services in Ubiquitous Computing
(IMIS-2013) (pp. 678–683).
doi: 10.1109/IMIS.2013.122. (EI).
Lin, J.-Y., & Chen, Y.-p. (2013).
On the effect of population size and selection mechanism from the
viewpoint of collaboration between exploration and exploitation.
In Proceedings of 2013 IEEE Workshop on Memetic Computing at
Symposium Series on Computational Intelligence (IEEEMC at SSCI 2013)
(pp. 16–23).
doi: 10.1109/MC.2013.6608202.
(EI).
Lin, J.-C., Leu, F.-Y., Lee, M.-C., & Chen, Y.-p. (2013).
Deriving job completion reliability and job energy consumption for a
general MapReduce infrastructure from single-job perspective.
In Proceedings of the 27th IEEE International Conference on
Advanced Information Networking and Applications (AINA-2013) (pp.
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doi: 10.1109/WAINA.2013.10. (EI).
Tsai, P.-C., Chen, C.-M., & Chen, Y.-p. (2012).
Sparse degrees analysis for LT codes optimization.
In Proceedings of 2012 IEEE Congress on Evolutionary
Computation (CEC 2012) (pp. 2463–2468).
doi: 10.1109/CEC.2012.6252861.
(EI).
Lin, J.-Y., & Chen, Y.-p. (2012).
When and what kind of memetic algorithms perform well.
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doi: 10.1109/CEC.2012.6252894.
(EI).
Huang, Y.-w., & Chen, Y.-p. (2010).
Detecting general problem structures with inductive linkage
identification.
In Proceedings of the 2010 Conference on Technologies and
Applications of Artificial Intelligence (TAAI 2010) (pp. 508–515).
doi: 10.1109/TAAI.2010.86. (EI).
Lin, J.-H., & Chen, Y.-p. (2010).
XCS with bit masks.
In Proceedings of the 2010 Conference on Technologies and
Applications of Artificial Intelligence (TAAI 2010) (pp. 516–523).
doi: 10.1109/TAAI.2010.87. (EI).
Chen, Y.-p. (2010).
Estimation of distribution algorithms: Basic ideas and future
directions.
In Proceedings of World Automation Congress 2010 (WAC 2010)
(pp. IFMIP–152).
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Chen, C.-M., Chen, Y.-p., Shen, T.-C., & Zao, J. (2010a).
On the optimization of degree distributions in LT codes with
covariance matrix adaptation evolution strategy.
In Proceedings of 2010 IEEE Congress on Evolutionary
Computation (CEC 2010) (pp. 3531–3538).
doi: 10.1109/CEC.2010.5586202.
(EI).
Chen, C.-M., Chen, Y.-p., Shen, T.-C., & Zao, J. (2010b).
Optimizing degree distributions in LT codes by using the
multiobjective evolutionary algorithm based on decomposition.
In Proceedings of 2010 IEEE Congress on Evolutionary
Computation (CEC 2010) (pp. 3635–3642).
doi: 10.1109/CEC.2010.5586340.
(EI).
Huang, Y.-W., & Chen, Y.-p. (2009).
On the detection of general problem structures by using inductive
linkage identification.
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Computation Conference 2009 (GECCO-2009) (pp. 1853–1854).
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Chen, C.-M., Chen, Y.-p., & Zhang, Q. (2009).
Enhancing MOEA/D with guided mutation and priority update for
multi-objective optimization.
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Chuang, C.-Y., & Chen, Y.-p. (2008a).
Recognizing problem decomposition with inductive linkage
identification: Population requirement vs. subproblem complexity.
In Proceedings of the Joint 4th International Conference on Soft
Computing and Intelligent Systems and 9th International Symposium on advanced
Intelligent Systems (SCIS & ISIS 2008) (pp. 670–675).
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(Invited).
Chuang, C.-Y., & Chen, Y.-p. (2008b).
On the effectiveness of distributions estimated by probabilistic
model building.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2008 (GECCO-2008) (pp. 391–398).
doi: 10.1145/1389095.1389169. (EI).
Liou, J.-J., & Chen, Y.-p. (2008).
Adaptive discretization on multidimensional continuous search spaces.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2008 (GECCO-2008) (pp. 977–984).
doi: 10.1145/1389095.1389280. (EI).
Chuang, C.-Y., & Chen, Y.-p. (2007).
Linkage identification by perturbation and decision tree induction.
In Proceedings of 2007 IEEE Congress on Evolutionary
Computation (CEC 2007) (pp. 357–363).
doi: 10.1109/CEC.2007.4424493. (CPCI-S, EI).
Lin, Y.-y., & Chen, Y.-p. (2007).
Crowd control with swarm intelligence.
In Proceedings of 2007 IEEE Congress on Evolutionary
Computation (CEC 2007) (pp. 3321–3328).
doi: 10.1109/CEC.2007.4424900. (CPCI-S, EI).
Hsieh, C.-T., Chen, C.-M., & Chen, Y.-p. (2007).
Particle swarm guided evolution strategy.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2007 (GECCO-2007) (pp. 650–657).
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Chen, H.-W., & Chen, Y.-p. (2007a).
Introducing fault tolerance to XCS.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2007 (GECCO-2007) (pp. 1871).
doi: 10.1145/1276958.1277330. (EI).
Chen, C.-H., & Chen, Y.-p. (2007b).
Real-coded ECGA for economic dispatch.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2007 (GECCO-2007) (pp. 1920–1927).
doi: 10.1145/1276958.1277343. (EI).
Hung, P.-C., Chen, Y.-p., & Zan, H. W. (2007).
Characteristic determination for solid state devices with
evolutionary computation: A case study.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2007 (GECCO-2007) (pp. 2029–2036).
doi: 10.1145/1276958.1277357. (EI).
Jian, M.-C., & Chen, Y.-p. (2006).
Introducing recombination with dynamic linkage discovery to particle
swarm optimization.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2006 (GECCO-2006) (pp. 85–86).
doi: 10.1145/1143997.1144010. (CPCI-S, EI).
Chen, C.-H., Liu, W.-N., & Chen, Y.-p. (2006).
Adaptive discretization for probabilistic model building genetic
algorithms.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2006 (GECCO-2006) (pp. 1103–1110).
doi: 10.1145/1143997.1144174. (CPCI-S, EI).
Hung, P.-C., & Chen, Y.-p. (2006).
iECGA: Integer extended compact genetic algorithm.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2006 (GECCO-2006) (pp. 1415–1416).
doi: 10.1145/1143997.1144222. (CPCI-S, EI).
Chen, H.-W., & Chen, Y.-p. (2006).
FTXI: Fault tolerance XCS in integer.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2006 (GECCO-2006) (pp. 1589–1590).
doi: 10.1145/1143997.1144255. (CPCI-S, EI).
Fu, D.-Y., Wu, T.-Y., Chen, C.-T., Wu, K.-C., & Chen, Y.-p.
(2006).
Evolutionary interactive music composition.
In Proceedings of ACMSIGEVO Genetic and Evolutionary
Computation Conference 2006 (GECCO-2006) (pp. 1863–1864).
doi: 10.1145/1143997.1144301. (CPCI-S, EI).
Chen, Y.-p., & Goldberg, D. E. (2004).
Introducing subchromosome representations to the linkage learning
genetic algorithms.
In Proceedings of Genetic and Evolutionary Computation
Conference 2004 (GECCO-2004) (pp. 971–982).
(CPCI-S).
Ohnishi, K., Sastry, K., Chen, Y.-p., & Goldberg, D. E. (2004).
Inducing sequentiality using grammatical genetic codes.
In Proceedings of Genetic and Evolutionary Computation
Conference 2004 (GECCO-2004) (pp. 1426–1437).
(CPCI-S).
Llorà, X., Ohnishi, K., Chen, Y.-p., Goldberg, D. E., & Welge,
M. E. (2004).
Enhanced innovation: A fusion of chance discovery and evolutionary
computation to foster creative processes and decision making.
In Proceedings of Genetic and Evolutionary Computation
Conference 2004 (GECCO-2004) (pp. 1314–1315).
(CPCI-S).
Chen, Y.-p., & Goldberg, D. E. (2004).
Convergence time for the linkage learning genetic algorithm.
In Proceedings of 2004 IEEE Congress on Evolutionary
Computation (CEC 2004) (pp. 39–46).
(CPCI-S, EI).
Yu, T.-L., Chen, Y.-p., Goldberg, D. E., & Chen, J.-H. (2003).
An adaptive sampling scheme for genetic algorithms on the sampled
OneMax problem.
In Proceedings of Artificial Neural Networks in Engineering 2003
(ANNIE 2003) (pp. 39–44).
(EI).
Yu, T.-L., Goldberg, D. E., Yassine, A. A., & Chen, Y.-p. (2003).
Genetic algorithm design inspired by organizational theory: Pilot
study of a dependency structure matrix driven genetic algorithm.
In Proceedings of Artificial Neural Networks in Engineering 2003
(ANNIE 2003) (pp. 327–332).
(EI).
Chen, Y.-p., & Goldberg, D. E. (2003a).
An analysis of a reordering operator with tournament selection on a
GA-hard problem.
In Proceedings of Genetic and Evolutionary Computation
Conference 2003 (GECCO-2003) (pp. 825–836).
(CPCI-S).
Chen, Y.-p., & Goldberg, D. E. (2003b).
Tightness time for the linkage learning genetic algorithm.
In Proceedings of Genetic and Evolutionary Computation
Conference 2003 (GECCO-2003) (pp. 837–849).
(CPCI-S).
Yu, T.-L., Goldberg, D. E., Yassine, A. A., & Chen, Y.-p. (2003).
A genetic algorithm design inspired by organizational theory: A pilot
study of a dependency structure matrix driven genetic algorithm.
In Proceedings of Genetic and Evolutionary Computation
Conference 2003 (GECCO-2003) (pp. 1620–1621).
(CPCI-S).
Chen, Y.-p., & Goldberg, D. E. (2002).
Introducing start expression genes to the linkage learning genetic
algorithm.
In Proceedings of the Seventh International Conference on
Parallel Problem Solving from Nature (PPSNVII) (pp. 351–360).
Singh, A., Goldberg, D. E., & Chen, Y.-p. (2002).
Modified linkage learning genetic algorithm for difficult
non-stationary problems.
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Conference 2002 (GECCO-2002) (pp. 699).
Chen, Y.-p. (2002).
Using start expression genes for building-block separation in the
linkage learning genetic algorithm.
In Proceedings of Genetic and Evolutionary Computation
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(Graduate student workshop).
Singh, A., Goldberg, D. E., & Chen, Y.-p. (2002).
Modified linkage learning genetic algorithm for difficult
non-stationary problems.
In Proceedings of Genetic and Evolutionary Computation
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(Late-breaking Papers).
Yang, J.-M., Chen, Y.-p., Horng, J.-T., & Kao, C.-Y. (1997).
Applying family competition to evolution strategies for constrained
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A comparative study of genetic algorithms for vehicle routing with
time constraints.
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Extending the scalability of linkage learning genetic
algorithms: Theory and practice, Volume 190 of Studies in Fuzziness and
Soft Computing.
Springer.
ISBN: 3-540-28459-1.
ErratumSpringer LinkAmazon Link
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ReHRS: A hybrid redundant system for improving MapReduce
reliability and availability.
In Xhafa, F., Barolli, L., Barolli, A., & Papajorgji, P. (Eds.),
Modeling and Processing for Next-Generation Big-Data Technologies,
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Designing efficient genetic and evolutionary algorithm hybrids.
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Exploitation of linkage learning in evolutionary algorithms,
Volume 3 of Adaptation, Learning, and Optimization.
Springer.
ISBN: 978-3-642-12833-2.
Springer LinkAmazon Link
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Linkage in evolutionary computation, Volume 157 of Studies
in Computational Intelligence.
Springer.
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Method and system for automatic music composition.
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Tang, K., Yao, X., Suganthan, P. N., MacNish, C., Chen, Y.-p.,
Chen, C.-M., & Yang, Z. (2007).
Benchmark functions for the CEC’2008 special session and
competition on large scale global optimization (Technical Report).
Nature Inspired Computation and Applications Laboratory, University
of Science and Technology of China.
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Chen, Y.-p., Yu, T.-L., Sastry, K., & Goldberg, D. E. (2007).
A survey of genetic linkage learning techniques (Technical
Report 2007014).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
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Suganthan, P. N., Hansen, N., Liang, J. J., Deb, K., Chen, Y.-p.,
Auger, A., & Tiwari, S. (2005).
Problem definitions and evaluation criteria for the CEC 2005
special session on real-parameter optimization (Technical Report 2005001).
HsinChu City, Taiwan: Natural Computing Laboratory, Department of
Computer Science, National Chiao Tung University.
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Chen, Y.-p. (2004).
Extending the scalability of linkage learning genetic
algorithms: Theory and practice (Technical Report 2004018).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
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Llorà, X., Ohnishi, K., Chen, Y.-p., Goldberg, D. E., & Welge,
M. E. (2004).
Enhanced innovation: A fusion of chance discovery and
evolutionary computation to foster creative processes and decision making
(Technical Report 2004012).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
Download
Ohnishi, K., Sastry, K., Chen, Y.-p., & Goldberg, D. E. (2004).
Inducing sequentiality using grammatical genetic codes
(Technical Report 2004007).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
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Chen, Y.-p., & Goldberg, D. E. (2004).
Introducing subchromosome representations to the linkage
learning genetic algorithms (Technical Report 2004001).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
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Yu, T.-L., Chen, Y.-p., Goldberg, D. E., & Chen, J.-H. (2003).
An adaptive sampling scheme for genetic algorithms on the
sampled OneMax problem (Technical Report 2003026).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
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Chen, Y.-p., & Goldberg, D. E. (2003).
Convergence time for the linkage learning genetic algorithm
(Technical Report 2003025).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
Download
Yu, T.-L., Goldberg, D. E., Yassine, A. A., & Chen, Y.-p. (2003).
A genetic algorithm design inspired by organizational theory: A
pilot study of a dependency structure matrix driven genetic algorithm
(Technical Report 2003007).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
Download
Chen, Y.-p., & Goldberg, D. E. (2003a).
An analysis of a reordering operator with tournament selection
on a GA-hard problem (Technical Report 2003003).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
Download
Chen, Y.-p., & Goldberg, D. E. (2003b).
Tightness time for the linkage learning genetic algorithm
(Technical Report 2003002).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
Download
Chen, Y.-p., & Goldberg, D. E. (2002).
Introducing start expression genes to the linkage learning
genetic algorithm (Technical Report 2002007).
Urbana, Illinois, USA: Illinois Genetic Algorithms Laboratory,
Department of General Engineering, University of Illinois at
Urbana-Champaign.
Download
Chen, Y.-p. (2004).
Extending the scalability of linkage learning genetic
algorithms: Theory and practice.
Doctoral dissertation, University of Illinois, Urbana, IL, USA.
Chen, Y.-p. (1997).
Stochastic sketching: A new method for global optimization.
Master’s thesis, National Taiwan University, Taipei, Taiwan.