Swarm intelligence (SI) is the collective behavior of decentralized, self-organized natural or
artificial systems. Monarch butterfly optimization (MBO) algorithm is a class of swarm …

The Harmony Search Algorithm (HSA) is a swarm intelligence optimization algorithm which
has been successfully applied to a broad range of clustering applications, including data …

Quantum-inspired differential evolution (QDE) is an evolutionary algorithm, which can
effectively solve complex optimization problems. However, sometimes, it easily leads to …

The selection of the mutation strategy for differential evolution (DE) algorithm plays an
important role in the optimization performance, such as exploration ability, convergence …

In order to overcome the low solution efficiency, insufficient diversity in the later search
stage, slow convergence speed and a high search stagnation possibility of differential …

In order to overcome the slow convergence speed, poor global search ability and difficult
designing rotation angle of quantum-inspired evolutionary algorithm (QEA), an improved …

Accurate wind speed forecasting is conducive to power system operation, peak regulation,
security analysis, and energy trading. This study proposes a hybrid model named VMD-DE …

Electric power, as an efficient and clean energy, has considerable importance in industries
and human lives. Electricity price is becoming increasingly crucial for balancing electricity …

In this paper, a novel multi-population parallel co-evolutionary differential evolution, named
MPPCEDE, is proposed to optimize parameters of photovoltaic (PV) models and enhance …

Forest fires are a significant threat to the ecological system's stability. Several attempts have
been made to detect forest fires using a variety of approaches, including optical fire sensors …