Computational Complexity for Various Types of Stochastic Algorithms for Global Optimization
碩士 === 國立成功大學 === 數學系應用數學碩博士班 === 96 === This thesis analyzes three stochastic algorithms for global optimization on continuous domain, including the Pure Random Search (PRS), the Pure Adaptive Search(PAS), and the Hesitant Adaptive Search(HAS). Let $overline{y}$ denote the given target value, and $...
Main Authors: | Shih-shan Lin, 林詩珊 |
---|---|
Other Authors: | Ruey-lin Sheu |
Format: | Others |
Language: | en_US |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/42669643818873702280 |
Similar Items
-
Some modified stochastic global optimization algorithms with applications
by: Ali, M.
Published: (1994) -
Global Synchronization of Neutral-Type Stochastic Delayed Complex Networks
by: Ya Zhang, et al.
Published: (2012-01-01) -
Complexity Theory of Stochastic Algorithms for Large-scale Nonconvex Optimization
by: Wang, Zhe
Published: (2020) -
An adaptive neighborhood search algorithm for optimizing stochastic mining complexes
by: Grogan, Sean
Published: (2016) -
Algorithms for stochastic optimization
by: Parpas, Panayiotis
Published: (2006)