We look for techniques that are efficient, accurate, and applicable. The search space could have any nature and could have discontinuity or multi-local optima. In this paper, we address this challenge ...

The general case of random walks, Markov chains, are extensively used in machine learning and Bayesian statistics. In short, random walks are a powerful backbone for many further algorithms. Quantum ...

In this paper, a hybrid fuzzy random forest algorithm, in which a harmony search algorithm is embedded for parameter tuning, is proposed for classification on unbalanced data sets. Firstly, the data ...

In this paper, I’ll provide an overall introduction of of quantum walks and its application to two search problems 1. The Historic Quantum random-walk search algorithm 2.