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Proceedings ArticleDOI

A modified univariate search algorithm

M.A. Al-Saleh, +1 more
- Vol. 6, pp 306-309
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TLDR
A modified univariateSearch algorithm that overcomes two major limitations of conventional univariate search method, minimizes the probability of premature convergence to poor local minima by utilizing a non-deterministic search procedure based on an analogy with the analytical univariatesearch.
Abstract
This paper describes a modified univariate search algorithm that overcomes two major limitations of conventional univariate search method. It minimizes the probability of premature convergence to poor local minima by utilizing a non-deterministic search procedure based on an analogy with the analytical univariate search, and improves' the quality of solutions by dealing with populations of solutions rather than with single solutions for solving unconstrained as well as constrained optimization problems involving continuous or discrete variables. Unlike Genetic Algorithms (GA's), which also are based on non-deterministic search and exhibit intrinsic parallelism, the solutions do not interact or mix together to produce new solutions (offspring); instead, new solutions are generated by unilaterally updating a single variable at a time in individual solutions. Results of two test problems are presented and compared with those obtained by standard GA, modified GA, and an optimization program based on the method of feasible directions.

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A Digital Simulator for Determining the Performance Limits of Computer Relays

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Using least square svm for nonlinear systems modeling and control

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References
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Journal ArticleDOI

Nonlinear programming approach to automated topology

TL;DR: An analytical approach to the optimization of the topological configuration of a set of functional blocks is presented, expressing the overlapping of blocks as an inequality constraint in a formulation based on nonlinear optimization, so that the blocks can move freely without any overlap during the optimization process.
Journal ArticleDOI

Adaptive vs. conventional reach setting of digital distance relays

TL;DR: In contrast to the conventional approach of setting the reach of a distance relay based on off-line worst-case studies, the adaptive approach adjusts the relay on-line on the basis of the current power system state as discussed by the authors.
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