Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Abstract: This paper proposes a new method for unit commitment (UC) in power systems. The approach utilizes quantum evolutionary computation within the framework of quantum artificial intelligence and ...

Abstract: Brain Storm Optimization (BSO) is an effective population-based optimization method inspired by human brainstorming process. This paper proposes a new binary BSO algorithm (BBSO) to develop ...