Collaborative Research: International Experience for Students: U.S.-Ukraine Collaboration on Discrete and Nondifferentiable Optimization

sergiy Butenko Oleg prokopyev德克萨斯工程实验站匹兹堡大学该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。学生的国际研究经验：美国-乌克兰在离散和不可微分优化方面的合作这个美国-乌克兰项目为美国本科生和研究生提供了在乌克兰基辅格卢什科夫控制论研究所进行研究的机会。研究活动集中在离散和不可微优化及其应用领域。主要研究者是来自德克萨斯工程实验站的sergey Butenko，来自匹兹堡大学的Oleg Prokopyev和来自格卢什科夫控制论研究所的Ivan Sergienko。美国学生在格卢什科夫学院学习三周，在那里他们与美国研究生、本科生以及乌克兰学生组成的团队一起工作。乌克兰资深研究人员担任导师。学生可以从各种各样的研究项目想法中选择。他们也可能提出自己的问题来解决。要解决的问题包括一些众所周知的问题，以及具有广泛应用的新型组合优化问题。提供的一个项目主题的例子是开发用于解决分数0-1规划问题的元启发式方法，并将其应用于DNA微阵列数据的双聚类。该项目旨在通过国际合作研究培训、网络和指导，为美国学生提供全球视野和专业发展机会。该活动是由NSF资助的先前IRES项目的延续，该项目获得了NSF 0553513奖。

OISE 08-53804 OISE 08-53997Sergiy Butenko Oleg ProkopyevTexas Engineering Experiment Station University of PittsburghThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).International Research Experience for Students: U.S.-Ukraine Collaboration on Discrete and Nondifferentiable OptimizationThis US-Ukraine project provides US undergraduate and graduate students opportunities to conduct research at the Glushkov Institute of Cybernetics in Kyiv, Ukraine. The research activities are focused in the areas of discrete and nondifferentiable optimization and their applications. The principal investigators are Sergiy Butenko from the Texas Engineering Experiment Station, Oleg Prokopyev from the University of Pittsburgh and Ivan Sergienko from the Glushkov Institute of Cybernetics.The US students spend three-week periods at the Glushkov Institute where they work in teams involving US graduate and undergraduate students, as well as Ukrainian students. The Ukrainian senior researchers serve as mentors. Students are offered a variety of research project ideas to choose from. They may also propose their own problems to work on. The problems to be solved include some well-known ones, as well as novel combinatorial optimization problems that have numerous applications. An example of a project topic offered is developing metaheuristic approaches for solving fractional 0-1 programming problems with application in biclustering of DNA microarray data.This project fulfills the program objectives of providing US students with a global perspective and opportunities for professional growth through international cooperative research training, networking and mentoring. This activity is continuation of a previous IRES project supported by NSF award # 0553513.