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

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.