Welcome to J.M. Laboratory for Mathematical Optimization

Director : 丂Jianming  SHI,  Associate Professor

 

Email:    shi (at) mmm.muroran-it.ac.jp

 

Office : 丂V514, 

 

Lab. : V107, V110

 

ABOUT J.M. Lab

 

J.M. Laboratory for Mathematical Optimization is working on, as the name suggests, mathematical optimization and its applications. This lab is actively involved with research into programming techniques, and the implementation of mathematically efficient algorithms.   Theoretical considerations and the development and implementation of efficient algorithms are given equal emphasis in this lab. Linear and combinatorial optimization are given special emphasis.

 

Students in this lab are encouraged to learn linear programming and convex optimization, because both of them play a very fundamental role in the researches here.

Recently, the lab is also interested in applications, especially in optimization problems coming from bioinformatics, financial engineering and management science.

Keywords: linear optimization, combinatorial optimization, nonlinear optimization and its applications, optimization algorithm, global optimization, fractional programming, bioinformatics, financial engineering, management science.

People in the Lab.

Jianming SHI

Dr. Shi received his BS degree in mathematics from Suzhou University in the 1980s. He earned his MS and Ph. D. degrees in Systems and Applied Mathematics from University of Tsukuba in the 1990s. His academic interests include Mathematical Programming, especially, nonlinear optimization and global optimization. He is taking up practical optimization problems arising from financial engineering, bioinformatics and management engineering.

Postgraduate:

Four Students

 

Undergraduate:

 

Six students

 

Teaching Schedule

 

 

Selected Publications

 

丒丂O. Karpenko, J. Shi and Y. Dai (2005) , "Prediction of MHC class II binders using the ant colony search strategy," Artificial Intelligence in Medicine, 35, 147-156.

 

丒        J. Shi and H. Inoue (2004), 乬Convex Maximization on Convex Set with Fuzzy Constraints乭, IEEE Transaction on Systems, Man, and Cybernetics, Part A, 34, 681-685.

 

丒丂S. Schaible and J. Shi (2003), 乬Fractional Programming: The Sum-of-Ratios Case乭, Optimization Methods and Software, 18, 219-229.