Metaheuristic optimization algorithms are one of the most effective methods for solving
complex engineering problems. However, the performance of a metaheuristic algorithm is …

Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …

Lévy flight is a random walk mechanism which can make large jumps at local locations with
a high probability. The probability density distribution of Lévy flight was characterized by …

With the continuous development of artificial intelligence, swarm control and other
technologies, the application of Unmanned Aerial Vehicles (UAVs) in the battlefield is more …

An electronic transition-based bare bones particle swarm optimization (ETBBPSO) algorithm
is proposed in this paper. The ETBBPSO is designed to present high precision results for …

Carbon emissions play a significant role in shaping social policy-making, industrial
planning, and other critical areas. Recurrent neural networks (RNNs) serve as the major …

Swarm Intelligence (SI) is a collective behavior that emerges from interaction between
individuals in a group. Typical SI includes fish schooling, ant foraging, bird migration, and so …

Since Grey Wolf Optimizer (GWO) first introduction, it continues to be used extensively today,
owing to its simplicity, easy handling, and applicability to a wide range of problems …

The grasshopper optimization algorithm (GOA) is a meta-heuristic algorithm proposed in
2017 mimics the biological behavior of grasshopper swarms seeking food sources in nature …

The quarterly financial statement, or Form 10-Q, is one of the most frequently required filings
for US public companies to disclose financial and other important business information. Due …