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Journal ArticleDOI

Stochastic Interpolating Functions—Applications in Optimization

I. P. Schagen
- 01 Aug 1980 - 
- Vol. 26, Iss: 1, pp 93-101
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This article is published in Ima Journal of Applied Mathematics.The article was published on 1980-08-01. It has received 8 citations till now. The article focuses on the topics: Stochastic optimization.

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Approved for Public Release; Distribution is Unlimited

TL;DR: LaRonde as mentioned in this paper analyzes the conflict in Xinjiang and concludes that the Chinese continue to defeat the separatist movement through a strategy that counters Mao's seven fundamentals of revolutionary warfare, concluding that Mao, as well as the communist leaders who followed him, was also successful at waging protracted counterinsurgency.
Dissertation

Some modified stochastic global optimization algorithms with applications

M. Montaz Ali
TL;DR: A new topographical Multilevel Single Linkage algorithm is proposed as an extension of MSL which performs much better than MSL, especially in terms of number of function evaluations and a new aspiration based simulated annealing algorithm (ASA) has been derived which enhances the performance of SA by incorporating an aspirat.
Journal ArticleDOI

Internal modeling of objective functions for global optimization

TL;DR: In this paper, a method for determining the location of a new function evaluation, based on a representation using a stationary stochastic process model, is investigated and some results are given. But this method requires an adequate internal representation of the objective function for success in a reasonable number of function evaluations.
Journal ArticleDOI

A parameter optimization method for electronic circuit design using stochastic model function

TL;DR: An optimization procedure using the stochastic model function, aiming at the application to the optimization of the circuit constant in the integrated circuit, is presented, and the usefulness of the presented optimization procedure in the circuit design is demonstrated.
Proceedings ArticleDOI

A new global optimization algorithm using stochastic model and its application to electronic circuit design

TL;DR: A novel algorithm based on an internal model of an objective function for seeking a global optimum by minimizing this internal model function, constructed by a stationary Gaussian process, can be obtained after an extremely small number of objective function evaluations.