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

Author

Badar, Altaf Q. H. ; Umre, B.S. ; Junghare, A.S.

Author_Institution

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

fYear

2014

fDate

1-2 Aug. 2014

Firstpage

1

Lastpage

4

Abstract

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.

Keywords

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; Active Power Loss Minimization; Delphi; Genetic Algorithm; Optimization; Particle Swarm Optimization; Reactive Power Control; Reducing Variable Trend Search (RVTS);

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on

Conference_Location

Unnao

ISSN

2347-9337

Type

conf

DOI

10.1109/ICAETR.2014.7012914

Filename

7012914