Simulation Optimization Based on Taylor Kriging and Evolutionary Algorithms
Date: April 10, 2009
Time: 1:00 p.m.
Place: 3210 Shelby Center
Heping Liu
Doctoral Student
Department of Industrial and Systems Engineering,
Auburn University
Liu received his bachelor's degree in mathematics from Nanchang University and
master's degree in management sciences and engineering from the Graduate School
of Chinese Academy of Science. Previously, he worked as an investment analyst
in Shanghai. Liu's research interests include intelligence optimization, statistical
modeling and simulation modeling. He will graduate in May.
Simulation Optimization Based on Taylor Kriging and Evolutionary Algorithms
Liu will discuss integrating Taylor Kriging with evolutionary algorithms developed
for simulation models with high computational expenses. Taylor Kriging is an enhanced
model used to improve the interpolation accuracy of kriging, a group of geostatistical
techniques to introduce the value of a random field at an observed location based
on observations of its value at nearby locations.
