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Pekka Malo

Professori (Associate professor)

Department of Information and Service Management (www)

Associate Professor (tenured), statistics

Management Science
ProfileContactPublications

Person profile

Contact details

Pekka Malo, Ph.D. (econ), M.Sc. (math)
Associate Professor (tenured), statistics
Department of Information and Service Economy
Aalto University School of Business


Visiting address:
Room T203
Ekonominaukio 1
02150 Espoo
Finland


Mailing address:

PO Box 21210

00076 Aalto


Phone: +358403538071
Email: pekka.malo@aalto.fi


Research interests

  • Machine learning and artificial intelligence
  • Evolutionary computation
  • Semantic information retrieval
  • Statistical natural language processing
  • Multiobjective optimization

News

  • 31st European Meeting of Statisticians (EMS) 2017 is organized at Helsinki, July 24-28

Professional activity

  • Member of the Institute of Electrical and Electronics Engineers (IEEE)
  • Member of the Institute for Operations Research and the Management Sciences (INFORMS)
  • Member of the IEEE Computational Intelligence Society
  • Reviewer in journals: IEEE Transactions on Evolutionary Computation; IEEE Transactions on Knowledge and Data Engineering, Journal of the American Society for Information Science and Technology; ACM Transactions on the Web; Physica A; Expert Systems with Applications; Simulation & Gaming; Electronic Commerce Research Journal; International Journal of Information Technology & Decision Making; Annals of Operations Research

Currently teaching

  • 30E03000 - Data Science for Business I
  • 30E03500 - Data Science for Business II

Publications

Working papers

  • Malo, P., Viitasaari, L., Gorskikh, O., Ilmonen, P. (2018): "Non-parametric Structural Change Detection in Multivariate Systems." [arXiv:1805.08512]

Journal publications

  • Sinha, A., Malo, P. and Kallio, M. (2018): “Convex Preference Cone-based Approach for Many Objective Optimization Problems.” Computers & Operations Research. (forthcoming)
  • Pajala, T., Korhonen, P., Malo, P., Sinha, A., Wallenius, J., and A. Dehnokhalaji (2018): "Accounting for Political Opinions, Power, and Influence: A Voting Advice Application". European Journal of Operational Research, 266(2), pp. 702-715.
  • Korhonen, P., Malo, P., Pajala, T., Ravaja, N., Somervuori, O., Wallenius, J. (2018): "Context Matters: The Impact of Product Type, Emotional Attachment and Information Overload on Choice Quality". European Journal of Operational Research, 264(1), pp. 270-279.
  • Sinha, A., Malo, P. and Deb, K. (2018): "A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications". IEEE Transactions on Evolutionary Computation. (forthcoming)
  • Bragge, J., Kallio, H., Seppälä, T., Lainema, T. and Malo, P. (2017): “Decision-making in a Real-time Business Simulation Game: Cultural Aspects in Small Group Dynamics.” International Journal of Information Technology & Decision Making, 16(3), pp. 779–815.
  • Sinha, A., Malo, P. and Deb, K. (2017): "Evolutionary Algorithm for Bilevel Optimization using Approximations of the Lower Level Optimal Solution Mapping". European Journal of Operational Research, 257(2), pp. 395-411.
  • Sinha, A., Malo, P. and Deb, K. (2017): "Approximated Set-valued Mapping Approach for Handling Multiobjective Bilevel Problems". Computers & Operations Research, 77, pp. 194-209.
  • Sinha, A., Rämö, J., Malo, P., Kallio, M. and Tahvonen, O. (2017): "Optimal Management of Naturally Regenerating Uneven-aged Forests". European Journal of Operational Research, 256(3), pp. 886-900.
  • Sinha, A., Malo, P., Deb, K., Korhonen, P. and Wallenius, J. (2016): “Solving Bilevel Multi-criterion Optimization Problems with Lower Level Decision Uncertainty”. IEEE Transactions on Evolutionary Computation, 20(2), pp. 199-217.
  • Sinha, A., Malo, P. and Kuosmanen, T. (2015): “A Multi-objective Exploratory Procedure for Regression Model Selection”. Journal of Computational and Graphical Statistics, vol. 24(1), pp. 154-182.
  • Sinha, A., Malo, P. and Deb, K. (2014): “Test Problem Construction for Single-Objective Bilevel Optimization“. Evolutionary Computation Journal, vol. 22(3), pp. 439-477.
  • Malo, P., Sinha, A., Takala, P., Korhonen, P. and Wallenius, J. (2014): "Good debt or bad debt: Detecting semantic orientations in economic texts." Journal of the Association for Information Science and Technology, vol. 65(4), pp. 782-796.
  • Sinha, A., Malo, P., Frantsev, A. and Deb, K. (2014): “Finding Optimal Strategies in Multi-Period Multi-Leader-Follower Stackelberg Games Using an Evolutionary Framework.” Computers & Operations Research, vol. 41, pp. 374-385.
  • Malo, P., Siitari, P. and Sinha, A. (2013): “Automated Query Learning with Wikipedia and Genetic Programming”. Artificial Intelligence, vol. 194, pp. 86--110.
  • Malo, P. and Pennanen, T. (2012): “Reduced form modeling of limit order markets”. Quantitative Finance, vol. 12(7), pp. 1025–1036.
  • Malo, P., Sinha, A., Wallenius, J. and Korhonen, P. (2011): “Concept-based Document Classification Using Wikipedia and Value Function”. Journal of the American Society for Information Science and Technology, vol. 62(12), pp. 2496-2511.
  • Malo, P. (2009): “Modeling electricity spot and futures price dependence: A multifrequency approach”. Physica A, vol. 388(22), pp. 4763–4779.
  • Andreev, A., Kanto, A., and Malo, P. (2007): “Computational Examples of a new method for distribution selection in the Pearson System”. Journal of Applied Statistics, vol. 34(4), pp. 487–506.
  • Malo, P. and Kanto, A. (2006): “Evaluating Multivariate GARCH models in the Nordic Electricity Markets”. Communications in Statistics: Simulation and Computation, vol. 35(1), pp. 117--148.

Conference proceedings

  • Upreti, B., Merikivi, J., Bragge, J., and Malo, P. (2017): “Analyzing the ways IT has changed our TV consumption: Binge Watching and Marathon Watching”. In: International Conference on Information Systems (ICIS-2017).
  • Gorskikh, O., Malo, P., and Ilmonen, P. (2017): “Nonparametric Splitting Algorithm for Detecting Structural Changes in Predictive Relationships”. In: International Conference On Computing and Data Analysis (ICCDA-2017). ACM.
  • Suryan, V., Sinha, A., Malo, P., and Deb, K. (2016): “Handling Inverse Optimal Control Problems using Evolutionary Bilevel Optimization.” In: Proceedings of IEEE World Congress on Computational Intelligence (WCCI-2016), pp.1893-1900.
  • Sinha, A., Malo, P., and Deb, K. (2016): “Solving Optimistic Bilevel Programs by Iteratively Approximating Lower Level Optimal Value Function.” In: Proceedings of IEEE World Congress on Computational Intelligence (WCCI-2016), pp. 1877-1884.
  • Upreti, B., Asatiani, A., and Malo, P. (2016): “To Reach The Clouds: Application of Topic Models to the Meta-review on Cloud Computing Literature.” In: Proceedings of Annual Hawaii International Conference on Systems Sciences (HICSS-2016), pp. 3979-3988.
  • Malo, P., Aspara, J., Luo, X., and Sinha, A. (2015): "High-Volume Business News: Detecting Topic-Specific Sentiments to Account for Brand Ratings and Stock Returns." In: Proceedings, Marketing Strategy Meets Wall Street IV Conference. Singapore Management University, Marketing Strategy Meets Wall Street Conference, Singapore, Singapore, 08.01.2015.
  • Sinha, A., Malo, P., and Deb, K. (2015): “Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions.” In: Proceedings of Evolutionary Multicriterion Optimization (EMO-2015), Lecture Notes in Computer Science Volume 9018, 2015, pp. 426–443.
  • Porokka, A., Sinha, A., Malo, P., and Deb, K. (2015): “Unconstrained Robust Optimization using a Descent-based Crossover Operator.” In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2015).
  • Sinha, A., Malo, P., and Deb, K. (2015): “Transportation Policy Formulation as a Multi-objective Bilevel Optimization Problem.” To appear in: IEEE Congress on Evolutionary Computation (CEC-2015).
  • Sinha, A., Malo, P., Xu, P., and Deb, K. (2014): “A Bilevel Optimization Approach to Automated Parameter Tuning.” In: Proceedings of the 16th Annual Genetic and Evolutionary Computation Conference (GECCO-2014), pp. 847–854. ACM New York, NY, USA.
  • Sinha, A., Malo, P. and Deb, K. (2014): “An Improved Bilevel Evolutionary Algorithm based on Quadratic Approximations.” In: IEEE Congress on Evolutionary Computation (CEC-2014), pp. 1870–1877. IEEE Press.
  • Takala, P., Malo, P., Sinha, A., and Ahlgren, O. (2014): “Gold-standard for topic-specific sentiments in economic texts.” In: Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC-2014), 26-31 May, Reykjavik, Iceland.
  • Malo, P., Sinha, A., Takala, P., Ahlgren, O. and Lappalainen, I. (2013): "Learning the Roles of Directional Expressions and Domain Concepts in Financial News Analysis." In: Proceedings of IEEE International Conference on Data Mining Workshops (SENTIRE-2013). IEEE Press.
  • Sinha, A., Malo, P., Frantsev, A. and Deb, K. (2013) : “Multi-objective Stackelberg Game Between a Regulating Authority and a Mining Company: A Case Study in Environmental Economics“. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2013). IEEE Press.
  • Frantsev, A., Sinha, A. and Malo, P. (2012): “Finding Optimal Strategies in Multi-period Stackelberg Games Using an Evolutionary Framework”. In: Proceedings of IFAC Workshop on Control Applications of Optimization (IFAC-2012).
  • Sinha, A., Malo, P. and Deb, K. (2012): “Unconstrained Scalable Test Problems for Single-Objective Bilevel Optimization”. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2012), IEEE Press.
  • Ahlgren, O., Malo, P., Sinha, A., Wallenius, J. and Korhonen, P. (2011): “A Dimensionality Reduction Approach to Semantic Document Classification”. In: Proceedings of 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation (SPIM 2011) in conjunction with the 10th International Semantic Web Conference ISWC2011.
  • Sinha, A., Kuosmanen, T. and Malo, P. (2011): “Estimation of Efficient Regression Model using a Multi-Objective Procedure”, In: Proceedings of Annual International Conference on Operations Research and Statistics (ORS 2011).
  • Malo, P., Siitari, P., Ahlgren, O., Wallenius, J. and Korhonen, P. (2010): “Semantic Content Filtering with Wikipedia and Ontologies”. In: Proceedings of IEEE International Conference on Data Mining Workshops, 2010, pp. 518--526. (Best paper award in Semantic Aspects in Data Mining)

Visiting scholar

  • 2013: Michigan State University, MI, USA. https://www.coin-laboratory.com
  • 2012: The University of New South Wales, Canberra, Australia. Multidisciplinary Design Optimization Lab, http://www.mdolab.net

Tutorials

  • Sinha, A., Malo, P. and Deb, K. (2018): Tutorial on "Evolutionary Bilevel Optimization" by at PPSN 2018
  • Sinha, A., Malo, P. and Deb, K. (2014): Tutorial on "Evolutionary Bilevel Optimization" by at PPSN 2014, September 13-17, Ljubljana, Slovenia.
  • Sinha, A., Malo, P., and Deb, K. (2013): Tutorial on Bilevel Optimization at GECCO 2013, July 6-10, Amsterdam, Netherlands.
  • Sinha, A., Malo, P., and Deb, K. (2013): “Evolutionary approaches to handling bilevel optimization problems” at BEACON Center, Michigan State University, February 2013, East Lansing, MI, USA.
  • Malo, P., Sinha, A., Korhonen, P. and Wallenius, J. (2012): “Document Classification: A Many Criteria Optimization Problem”. Abstract published in: Proceedings of INFORMS 2012 Annual Meeting, Session on Decision-making and Optimization Problems with Many Criteria, Phoenix, AZ, October 14-17, 2012.
  • Sinha, A., Malo, P. and Deb, K. (2012): “Preference-based Evolutionary Algorithm for Multi-objective Bilevel Optimization”. Abstract published in: 25th European Conference on Operational Research (EURO 2012), Session on Hybrid Evolutionary Multiobjective Optimization Algorithms, Vilnius, July 8-11, 2012.
  • Malo, P., Sinha, A., Ahlgren, O., Wallenius, J. and Korhonen, P. (2011): “A Dimensionality Reduction Approach for Semantic Information Retrieval”. Abstract published in: Proceedings of The 21st International Conference on Multiple Criteria Decision Making (MCDM 2011), Session on Behavioral Issues in Multiple Criteria Decision Making, June 13-17, 2011.
  • Sinha, A. and Malo, P. (2011): “Solving Bilevel Problems using an Evolutionary Approach”. Abstract published in: Proceedings of INFORMS 2011 Annual Meeting, Session on Multiobjective Programming, North Carolina, November 13-16, 2011.


Person profile

Contact details

Pekka Malo, Ph.D. (econ), M.Sc. (math)
Associate Professor (tenured), statistics
Department of Information and Service Economy
Aalto University School of Business

Office address:
Chydenia, 4th floor, Room CG-4.18
Runeberginkatu 22-24
Helsinki 00100
Finland

Phone: +358403538071
Email: pekka.malo@aalto.fi

Visiting Scholar (Jan 2013 - Aug 2013)
BEACON center
Michigan State University
MI, USA

Research interests

  • Machine learning and artificial intelligence
  • Evolutionary computation
  • Semantic information retrieval
  • Statistical natural language processing
  • Multiobjective optimization

News

  • 31st European Meeting of Statisticians (EMS) 2017 is organized at Helsinki, July 24-28

Professional activity

  • Member of the Institute of Electrical and Electronics Engineers (IEEE)
  • Member of the Institute for Operations Research and the Management Sciences (INFORMS)
  • Member of the IEEE Computational Intelligence Society
  • Reviewer in journals: IEEE Transactions on Evolutionary Computation; IEEE Transactions on Knowledge and Data Engineering, Journal of the American Society for Information Science and Technology; ACM Transactions on the Web; Physica A; Expert Systems with Applications; Simulation & Gaming; Electronic Commerce Research Journal; International Journal of Information Technology & Decision Making; Annals of Operations Research

Currently teaching

  • 30E03000 - Data Science for Business I
  • 30E03500 - Data Science for Business II

Publications

Journal publications

  • Sinha, A., Malo, P. and Kallio, M. (2018): “Convex Preference Cone-based Approach for Many Objective Optimization Problems.” Computers & Operations Research. (forthcoming)
  • Pajala, T., Korhonen, P., Malo, P., Sinha, A., Wallenius, J., and A. Dehnokhalaji (2018): "Accounting for Political Opinions, Power, and Influence: A Voting Advice Application". European Journal of Operational Research, 266(2), pp. 702-715.
  • Korhonen, P., Malo, P., Pajala, T., Ravaja, N., Somervuori, O., Wallenius, J. (2018): "Context Matters: The Impact of Product Type, Emotional Attachment and Information Overload on Choice Quality". European Journal of Operational Research, 264(1), pp. 270-279.
  • Sinha, A., Malo, P. and Deb, K. (2018): "A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications". IEEE Transactions on Evolutionary Computation. (forthcoming)
  • Bragge, J., Kallio, H., Seppälä, T., Lainema, T. and Malo, P. (2017): “Decision-making in a Real-time Business Simulation Game: Cultural Aspects in Small Group Dynamics.” International Journal of Information Technology & Decision Making, 16(3), pp. 779–815.
  • Sinha, A., Malo, P. and Deb, K. (2017): "Evolutionary Algorithm for Bilevel Optimization using Approximations of the Lower Level Optimal Solution Mapping". European Journal of Operational Research, 257(2), pp. 395-411.
  • Sinha, A., Malo, P. and Deb, K. (2017): "Approximated Set-valued Mapping Approach for Handling Multiobjective Bilevel Problems". Computers & Operations Research, 77, pp. 194-209.
  • Sinha, A., Rämö, J., Malo, P., Kallio, M. and Tahvonen, O. (2017): "Optimal Management of Naturally Regenerating Uneven-aged Forests". European Journal of Operational Research, 256(3), pp. 886-900.
  • Sinha, A., Malo, P., Deb, K., Korhonen, P. and Wallenius, J. (2016): “Solving Bilevel Multi-criterion Optimization Problems with Lower Level Decision Uncertainty”. IEEE Transactions on Evolutionary Computation, 20(2), pp. 199-217.
  • Sinha, A., Malo, P. and Kuosmanen, T. (2015): “A Multi-objective Exploratory Procedure for Regression Model Selection”. Journal of Computational and Graphical Statistics, vol. 24(1), pp. 154-182.
  • Sinha, A., Malo, P. and Deb, K. (2014): “Test Problem Construction for Single-Objective Bilevel Optimization“. Evolutionary Computation Journal, vol. 22(3), pp. 439-477.
  • Malo, P., Sinha, A., Takala, P., Korhonen, P. and Wallenius, J. (2014): "Good debt or bad debt: Detecting semantic orientations in economic texts." Journal of the Association for Information Science and Technology, vol. 65(4), pp. 782-796.
  • Sinha, A., Malo, P., Frantsev, A. and Deb, K. (2014): “Finding Optimal Strategies in Multi-Period Multi-Leader-Follower Stackelberg Games Using an Evolutionary Framework.” Computers & Operations Research, vol. 41, pp. 374-385.
  • Malo, P., Siitari, P. and Sinha, A. (2013): “Automated Query Learning with Wikipedia and Genetic Programming”. Artificial Intelligence, vol. 194, pp. 86--110.
  • Malo, P. and Pennanen, T. (2012): “Reduced form modeling of limit order markets”. Quantitative Finance, vol. 12(7), pp. 1025–1036.
  • Malo, P., Sinha, A., Wallenius, J. and Korhonen, P. (2011): “Concept-based Document Classification Using Wikipedia and Value Function”. Journal of the American Society for Information Science and Technology, vol. 62(12), pp. 2496-2511.
  • Malo, P. (2009): “Modeling electricity spot and futures price dependence: A multifrequency approach”. Physica A, vol. 388(22), pp. 4763–4779.
  • Andreev, A., Kanto, A., and Malo, P. (2007): “Computational Examples of a new method for distribution selection in the Pearson System”. Journal of Applied Statistics, vol. 34(4), pp. 487–506.
  • Malo, P. and Kanto, A. (2006): “Evaluating Multivariate GARCH models in the Nordic Electricity Markets”. Communications in Statistics: Simulation and Computation, vol. 35(1), pp. 117--148.

Conference proceedings

  • Upreti, B., Merikivi, J., Bragge, J., and Malo, P. (2017): “Analyzing the ways IT has changed our TV consumption: Binge Watching and Marathon Watching”. In: International Conference on Information Systems (ICIS-2017).
  • Gorskikh, O., Malo, P., and Ilmonen, P. (2017): “Nonparametric Splitting Algorithm for Detecting Structural Changes in Predictive Relationships”. In: International Conference On Computing and Data Analysis (ICCDA-2017). ACM.
  • Suryan, V., Sinha, A., Malo, P., and Deb, K. (2016): “Handling Inverse Optimal Control Problems using Evolutionary Bilevel Optimization.” In: Proceedings of IEEE World Congress on Computational Intelligence (WCCI-2016), pp.1893-1900.
  • Sinha, A., Malo, P., and Deb, K. (2016): “Solving Optimistic Bilevel Programs by Iteratively Approximating Lower Level Optimal Value Function.” In: Proceedings of IEEE World Congress on Computational Intelligence (WCCI-2016), pp. 1877-1884.
  • Upreti, B., Asatiani, A., and Malo, P. (2016): “To Reach The Clouds: Application of Topic Models to the Meta-review on Cloud Computing Literature.” In: Proceedings of Annual Hawaii International Conference on Systems Sciences (HICSS-2016), pp. 3979-3988.
  • Malo, P., Aspara, J., Luo, X., and Sinha, A. (2015): "High-Volume Business News: Detecting Topic-Specific Sentiments to Account for Brand Ratings and Stock Returns." In: Proceedings, Marketing Strategy Meets Wall Street IV Conference. Singapore Management University, Marketing Strategy Meets Wall Street Conference, Singapore, Singapore, 08.01.2015.
  • Sinha, A., Malo, P., and Deb, K. (2015): “Towards Understanding Bilevel Multi-objective Optimization with Deterministic Lower Level Decisions.” In: Proceedings of Evolutionary Multicriterion Optimization (EMO-2015), Lecture Notes in Computer Science Volume 9018, 2015, pp. 426–443.
  • Porokka, A., Sinha, A., Malo, P., and Deb, K. (2015): “Unconstrained Robust Optimization using a Descent-based Crossover Operator.” In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2015).
  • Sinha, A., Malo, P., and Deb, K. (2015): “Transportation Policy Formulation as a Multi-objective Bilevel Optimization Problem.” To appear in: IEEE Congress on Evolutionary Computation (CEC-2015).
  • Sinha, A., Malo, P., Xu, P., and Deb, K. (2014): “A Bilevel Optimization Approach to Automated Parameter Tuning.” In: Proceedings of the 16th Annual Genetic and Evolutionary Computation Conference (GECCO-2014), pp. 847–854. ACM New York, NY, USA.
  • Sinha, A., Malo, P. and Deb, K. (2014): “An Improved Bilevel Evolutionary Algorithm based on Quadratic Approximations.” In: IEEE Congress on Evolutionary Computation (CEC-2014), pp. 1870–1877. IEEE Press.
  • Takala, P., Malo, P., Sinha, A., and Ahlgren, O. (2014): “Gold-standard for topic-specific sentiments in economic texts.” In: Proceedings of the 9th edition of the Language Resources and Evaluation Conference (LREC-2014), 26-31 May, Reykjavik, Iceland.
  • Malo, P., Sinha, A., Takala, P., Ahlgren, O. and Lappalainen, I. (2013): "Learning the Roles of Directional Expressions and Domain Concepts in Financial News Analysis." In: Proceedings of IEEE International Conference on Data Mining Workshops (SENTIRE-2013). IEEE Press.
  • Sinha, A., Malo, P., Frantsev, A. and Deb, K. (2013) : “Multi-objective Stackelberg Game Between a Regulating Authority and a Mining Company: A Case Study in Environmental Economics“. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2013). IEEE Press.
  • Frantsev, A., Sinha, A. and Malo, P. (2012): “Finding Optimal Strategies in Multi-period Stackelberg Games Using an Evolutionary Framework”. In: Proceedings of IFAC Workshop on Control Applications of Optimization (IFAC-2012).
  • Sinha, A., Malo, P. and Deb, K. (2012): “Unconstrained Scalable Test Problems for Single-Objective Bilevel Optimization”. In: Proceedings of IEEE Congress on Evolutionary Computation (CEC-2012), IEEE Press.
  • Ahlgren, O., Malo, P., Sinha, A., Wallenius, J. and Korhonen, P. (2011): “A Dimensionality Reduction Approach to Semantic Document Classification”. In: Proceedings of 2nd Workshop on Semantic Personalized Information Management: Retrieval and Recommendation (SPIM 2011) in conjunction with the 10th International Semantic Web Conference ISWC2011.
  • Sinha, A., Kuosmanen, T. and Malo, P. (2011): “Estimation of Efficient Regression Model using a Multi-Objective Procedure”, In: Proceedings of Annual International Conference on Operations Research and Statistics (ORS 2011).
  • Malo, P., Siitari, P., Ahlgren, O., Wallenius, J. and Korhonen, P. (2010): “Semantic Content Filtering with Wikipedia and Ontologies”. In: Proceedings of IEEE International Conference on Data Mining Workshops, 2010, pp. 518--526. (Best paper award in Semantic Aspects in Data Mining)

Talks and tutorials

  • Sinha, A., Malo, P. and Deb, K. (2014): Tutorial on "Evolutionary Bilevel Optimization" by at PPSN 2014, September 13-17, Ljubljana, Slovenia.
  • Sinha, A., Malo, P., and Deb, K. (2013): Tutorial on Bilevel Optimization at GECCO 2013, July 6-10, Amsterdam, Netherlands.
  • Sinha, A., Malo, P., and Deb, K. (2013): “Evolutionary approaches to handling bilevel optimization problems” at BEACON Center, Michigan State University, February 2013, East Lansing, MI, USA.
  • Malo, P., Sinha, A., Korhonen, P. and Wallenius, J. (2012): “Document Classification: A Many Criteria Optimization Problem”. Abstract published in: Proceedings of INFORMS 2012 Annual Meeting, Session on Decision-making and Optimization Problems with Many Criteria, Phoenix, AZ, October 14-17, 2012.
  • Sinha, A., Malo, P. and Deb, K. (2012): “Preference-based Evolutionary Algorithm for Multi-objective Bilevel Optimization”. Abstract published in: 25th European Conference on Operational Research (EURO 2012), Session on Hybrid Evolutionary Multiobjective Optimization Algorithms, Vilnius, July 8-11, 2012.
  • Malo, P., Sinha, A., Ahlgren, O., Wallenius, J. and Korhonen, P. (2011): “A Dimensionality Reduction Approach for Semantic Information Retrieval”. Abstract published in: Proceedings of The 21st International Conference on Multiple Criteria Decision Making (MCDM 2011), Session on Behavioral Issues in Multiple Criteria Decision Making, June 13-17, 2011.
  • Sinha, A. and Malo, P. (2011): “Solving Bilevel Problems using an Evolutionary Approach”. Abstract published in: Proceedings of INFORMS 2011 Annual Meeting, Session on Multiobjective Programming, North Carolina, November 13-16, 2011.

Keywords

machine learning
statistical analysis
Evolutionary Multi-Objective Optimization
Multi-Criteria Decision Making
Multivariate Statistics
evolutionary computation
Text mining

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