Title :
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
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);
Conference_Titel :
Advances in Engineering and Technology Research (ICAETR), 2014 International Conference on
Conference_Location :
Unnao
DOI :
10.1109/ICAETR.2014.7012914
