An Adaptive Random Search Algorithm with Tuning Capabilities

Abstract

This paper proposes an adaptive random search algorithm called RasID. A sophisticated probability density function is introduced for generating random search vectors. The new algorithm has powerful tuning capabilities such that it can perform intensified searches in perspective areas and diversified searches to escape from local minima.