Makoto Yamashita is an associte professor in School of Computing of Tokyo Institute of Technology.
He has carried out researches in mathematical optimization, and his key interest is efficient numerical methods for conic optimization problems.
Recent year, he has applied numerical methods based on mathematical optimization to various practical problems including optimal selection problems from tree breeding.

New research seeds from international collaboration

• Novel optimization methods for optimal selection problems from tree breeding

  For tree breeding, one of important goals is to determine the optimal contributions of genotypes that maximize the total benefit under a constraint for genetic diversity. In this project, we exploit a structure of the genetic-diversity constraint which can be described with second-order cone, and propose efficient optimization methods.
  
  Since 2012

  optimal selection problemsconic programming

• Optimization approaches for operation-room assignment

  The assignment of surgery operations to operation rooms is an important factor to improve the efficency of operations rooms. We apply optimization approaches to this assignment problem, for example, to reduce overtimes.
  
  Since 2018

  operation roomassignmentoperations researchoptimization