Improving the Efficiency of Stochastic Nelder-Mead Simplex Method For Simulation Optimization
碩士 === 國立清華大學 === 工業工程與工程管理學系 === 103 === Stochastic Nelder-Mead simplex method (SNM) is a direct search algorithm in simulation optimization, which can deal with some problems which are unsmooth or whose gradient does not exist. Comparing with the Nelder-Mead simplex algorithm (NM), SNM used an eff...
Main Authors: | Lian, Fu Shi, 連福詩 |
---|---|
Other Authors: | Chang, Kuo Hao |
Format: | Others |
Language: | zh-TW |
Published: |
2015
|
Online Access: | http://ndltd.ncl.edu.tw/handle/22286602355238503339 |
Similar Items
-
A Stochastic Convergence Result for the Nelder–Mead Simplex Method
by: Galántai, A.
Published: (2023) -
A Study of Nelder-Mead Simplex Search Method for Solving Unconstrained and Stochastic Optimization Problems
by: Erwie Zahara, et al.
Published: (2003) -
The Optimization of Machining Parameters for Milling Operations by Using the Nelder–Mead Simplex Method
by: Yubin Lee, et al.
Published: (2020-07-01) -
Quantum-behaved Particle Swarm Optimization with Nelder-Mead Simplex Search Method
by: Weiquan Yao
Published: (2015-04-01) -
Dynamic Hassan Nelder Mead with Simplex Free Selectivity for Unconstrained Optimization
by: Hassan A. Musafer, et al.
Published: (2018-01-01)