overview

Dr. Butenko's research concentrates mainly on global and discrete optimization and their applications. In particular, he is interested in theoretical and computational aspects of continuous global optimization approaches for solving discrete optimization problems on graphs. Applications of interest include network-based data mining, analysis of biological and social networks, wireless ad hoc and sensor networks, energy, and sports analytics.

education and training
selected publications
Academic Articles56
Books5
  • Tang, S., Du, D. Z., Woodruff, D., & Butenko, S. (2018). Preface.
  • Rassias, T. M., Butenko, S., & Floudas, C. A. (2014). Optimization in science and engineering: In honor of the 60th Birthday of Panos M. Pardalos. Springer New York.
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  • Pardalos, P. M., Gil-Lafuente, J., & Butenko, S. (2010). Optimal strategies in sports economics and management. Springer Berlin Heidelberg.
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  • Butenko, S., Art Chaovalitwongse, W., & Pardalos, P. M. (2009). Clustering challenges in biological networks. World Scientific.
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  • Butenko, S., Chaovalitwongse, W. A., & Pardalos, P. M. (2009). Preface. World Scientific.
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Chapters6
  • Yezerska, O., & Butenko, S. (2018). The Maximum Clique and Vertex Coloring. Handbook of Heuristics. (pp. 1259-1289). Springer International Publishing.
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  • Hosseinian, S., Fontes, D., Butenko, S., Nardelli, M. B., Fornari, M., & Curtarolo, S. (2017). The Maximum Edge Weight Clique Problem: Formulations and Solution Approaches. Optimization Methods and Applications. (pp. 217-237). Springer International Publishing.
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  • Butenko, S., & Yates, J. (2014). Soccer Analytics Using Touch-by-Touch Match Data. Social Networks and the Economics of Sports. (pp. 149-156). Springer International Publishing.
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  • Pattillo, J., Youssef, N., & Butenko, S. (2012). Clique Relaxation Models in Social Network Analysis. Handbook of Optimization in Complex Networks. (pp. 143-162). Springer New York.
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  • Butenko, S., Pardalos, P., Sergienko, I., Shylo, V., & Stetsyuk, P. (2009). Estimating the size of correcting codes using extremal graph problems. Optimization. (pp. 227-243). Springer New York.
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Conference Papers18
  • Shirokikh, O., Pastukhov, G., Semenov, A., Butenko, S., Veremyev, A., Pasiliao, E., & Boginski, V. (2018). The network of causal relationships in the U.S. stock market. ADVANCES IN NEURAL NETWORKS - ISNN 2014. 11280 LNCS, 541-542.
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  • Butenko, S., Chaovalitwongse, W. A., & Pardalos, P. M. (2013). Preface.
  • Ursulenko, O., Butenko, S., & Prokopyev, O. A. (2013). A global optimization algorithm for solving the minimum multiple ratio spanning tree problem. Journal of Global Optimization. 56(3), 1029-1043.
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  • Shahinpour, S., & Butenko, S. (2013). Distance-Based Clique Relaxations in Networks: s-Clique and s-Club. ADVANCES IN GLOBAL OPTIMIZATION. 59, 149-174.
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  • Verma, A., & Butenko, S. (2013). Network clustering via clique relaxations: A community based approach. MATHEMATICAL STUDIES ON HUMAN DISEASE DYNAMICS: EMERGING PARADIGMS AND CHALLENGES. 588, 129-139.
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chaired theses and dissertations
Email
butenko@tamu.edu
First Name
Sergiy
Last Name
Butenko
mailing address
Texas A&M University; Industrial Engineering; 3131 TAMU
College Station, TX 77843-3131
USA