A new search via probability algorithm for single-objective optimization problems

Abstract

This paper proposes a new stochastic algorithm, Search Via Probability (SVP) algorithm, for single-objective optimization problems. The SVP algorithm uses probabilities to control a process of searching for optimal solutions. We calculate probabilities of an appearance of a better solution than the current one on each iteration, and on the performance of SVP algorithm we create good conditions for its appearance.