Research Initiation: Stochastic Optimization and Search Algorithms
研究启动:随机优化和搜索算法
基本信息
- 批准号:9010770
- 负责人:
- 金额:$ 5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:1990
- 资助国家:美国
- 起止时间:1990-09-01 至 1993-02-28
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
A Bayesian formulation of optimization and search problems that are distinguished by very lax assumptions is adopted in this research. The optimality criterion for algorithms is the minimization of dispersion of the conditional probabilities with respect to the observations. The research addresses the theoretical issues of consistency of optimal myopic algorithms, characterizations of algorithms, and the development of efficient algorithms that are not sensitive to probabilistic assumptions. Problems of optimization and search with partial information abound. A common situation is to start with minimal information about the function to be optimized or the object to be found and then make observations that improve our information. An efficient choice of observations is a difficult and important problem since some choices may be much more informative than others. While problems that fit this description are commonplace, there is very little theory to guide in planning sensible strategies since the strong assumptions needed for most optimization or search methods can not typically be justified.
在这项研究中,采用了贝叶斯公式的优化和搜索问题,以非常宽松的假设区分开来。算法的最优性准则是条件概率相对于观测值的离散度最小。这项研究解决了最优近视算法的一致性、算法的特征以及对概率假设不敏感的高效算法的开发等理论问题。带有部分信息的优化和搜索问题比比皆是。一种常见的情况是,从关于要优化的函数或要找到的对象的最少信息开始,然后进行观察以改进我们的信息。有效的观测选择是一个困难而重要的问题,因为一些选择可能比另一些选择提供更多的信息。虽然符合这种描述的问题很常见,但在规划合理的战略时,很少有理论指导,因为大多数优化或搜索方法所需的强有力的假设通常不能被证明是合理的。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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James Calvin其他文献
A Global Perspective on Socioeconomic Determinants of Cardiovascular Health
心血管健康的社会经济决定因素的全球视角
- DOI:
10.1016/j.cjca.2024.07.024 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:5.300
- 作者:
Bart Wilder;Alejandro Pinedo;Salaheldin Abusin;David Ansell;Adrian Matias Bacong;James Calvin;Sung Whoy Cha;Rami Doukky;Faisal Hasan;Shengyuan Luo;Ahmet Afşin Oktay;Latha Palaniappan;Natasha Rana;Frederick Berro Rivera;Basmah Fayaz;Ahmed Ali Suliman;Annabelle Santos Volgman - 通讯作者:
Annabelle Santos Volgman
Convergence rate of a rectangular subdivision-based optimization algorithm for smooth multivariate functions
- DOI:
10.1007/s11590-021-01792-3 - 发表时间:
2021-08-11 - 期刊:
- 影响因子:1.100
- 作者:
Cuicui Zheng;James Calvin - 通讯作者:
James Calvin
On convergence rate of a rectangular partition based global optimization algorithm
- DOI:
10.1007/s10898-018-0636-z - 发表时间:
2018-03-07 - 期刊:
- 影响因子:1.700
- 作者:
James Calvin;Gražina Gimbutienė;William O. Phillips;Antanas Žilinskas - 通讯作者:
Antanas Žilinskas
Improvement science supports the timely initiation of amiodarone after complex cardiac surgery to reduce postoperative atrial fibrillation
- DOI:
10.1007/s12630-023-02618-9 - 发表时间:
2023-10-26 - 期刊:
- 影响因子:3.300
- 作者:
Catalina Casas Lopez;James Calvin;Nadia B. Hensley - 通讯作者:
Nadia B. Hensley
Itraconazole disposition after single oral and intravenous and multiple oral dosing in healthy cats.
健康猫单次口服、静脉注射和多次口服给药后伊曲康唑的分布。
- DOI:
10.2460/ajvr.1997.58.08.872 - 发表时间:
1997 - 期刊:
- 影响因子:1
- 作者:
D. Boothe;I. Herring;James Calvin;Nelson Way;Joy Dvorak - 通讯作者:
Joy Dvorak
James Calvin的其他文献
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{{ truncateString('James Calvin', 18)}}的其他基金
Optimization Algorithms for Decision Problems with Many Variables
多变量决策问题的优化算法
- 批准号:
1562466 - 财政年份:2016
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Algorithms and Complexity for Global Optimization
全局优化的算法和复杂性
- 批准号:
0825381 - 财政年份:2008
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
MRI: Development of a High Density, High Performance Beowulf Cluster
MRI:高密度、高性能贝奥武夫集群的开发
- 批准号:
0216275 - 财政年份:2002
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Efficient Simulation of Large-Scale Systems
大型系统的高效仿真
- 批准号:
9900117 - 财政年份:1999
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Average Complexity of Global Optimization
全局优化的平均复杂度
- 批准号:
9696243 - 财政年份:1996
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Average Complexity of Global Optimization
全局优化的平均复杂度
- 批准号:
9500173 - 财政年份:1995
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
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