TY - JOUR
T1 - Techniques for simulation response optimization
AU - Jacobson, Sheldon H.
AU - Schruben, Lee W.
N1 - Funding Information:
* This research was partially supported by AT&T Information Systems and the US Air Force System Command, Rome Air Development Center, Griffiss Air Force Base, Rome, NY by subcontract from Syracuse University, Syracuse, NY.
PY - 1989/2
Y1 - 1989/2
N2 - Techniques for discrete event simulation optimization are classified into four groups: path search methods, pattern search methods, random methods, and integral methods. Each class is described and a survey of recent literature is presented.
AB - Techniques for discrete event simulation optimization are classified into four groups: path search methods, pattern search methods, random methods, and integral methods. Each class is described and a survey of recent literature is presented.
KW - design of experiments
KW - optimization
KW - simulation
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U2 - 10.1016/0167-6377(89)90025-4
DO - 10.1016/0167-6377(89)90025-4
M3 - Article
AN - SCOPUS:0024607901
SN - 0167-6377
VL - 8
SP - 1
EP - 9
JO - Operations Research Letters
JF - Operations Research Letters
IS - 1
ER -