Reducing Variable Trend Search algorithm for optimizing non linear multidimensional space search

机译：减少变量趋势搜索算法优化非线性多维空间搜索

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摘要

A non linear multidimensional space search is a complex optimization problem. There are different biologically inspired algorithms which are used to optimize such a problem. A new algorithm termed as Reducing Variable Trend Search (RVTS) is proposed in this paper. RVTS emulates a modified decision making process called as Delphi process. RVTS is implemented on an IEEE 6 bus system and its performance is compared against PSO and dPSO.

机译：非线性多维空间搜索是一个复杂的优化问题。有多种生物启发算法可用于优化此类问题。提出了一种新的算法，称为减少变量趋势搜索（RVTS）。 RVTS模拟一个称为Delphi流程的修改后的决策流程。 RVTS在IEEE 6总线系统上实现，并且将其性能与PSO和dPSO进行了比较。

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来源
《2014 International Conference on Advances in Engineering and Technology Research》|2014年|1-4|共4页
会议地点 Unnao (IN)
作者
Badar Altaf Q. H.; Umre B.S.; Junghare A.S.;
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作者单位

Electr. Eng. Dept., Anjuman Coll. of Eng. Tech., Nagpur, India;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
decision making; forecasting theory; genetic algorithms; nonlinear programming; particle swarm optimisation; search problems; Delphi process; IEEE 6 bus system; RVTS; biologically inspired algorithm; complex optimization problem; dPSO; decision making process; nonlinear multidimensional space search optimization; reducing variable trend search; variable trend search algorithm; Aerospace electronics; Genetic algorithms; Linear programming; Market research; Optimization; Particle swarm optimization; Search problems; Act;

机译：决策;预测理论;遗传算法;非线性规划;粒子群优化;搜索问题; Delphi过程; IEEE 6总线系统; RVTS;生物启发算法;复杂优化问题; dPSO;决策过程;非线性多维空间搜索优化;归约变量趋势搜索;变量趋势搜索算法;航空航天电子学;遗传算法;线性规划;市场研究;优化;粒子群优化;搜索问题;作用;

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Reducing Variable Trend Search algorithm for optimizing non linear multidimensional space search

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