Introduction: Alzheimer's Disease (AD) is a degenerative brain disorder characterized by
cognitive and memory dysfunctions. The early detection of AD is necessary to reduce the …

In this paper, artificial neural network (ANN) models are presented in order to enable a
prompt assessment of the stability factor of tunnels in rock masses based on the Hoek …

Based on the salp swarm algorithm (SSA), this paper proposes an efficient metaheuristic
algorithm for solving global optimization problems and optimizing two commonly …

This paper proposes a novel hybrid algorithm, named Multi-Strategy Hybrid Harris Hawks
Tunicate Swarm Optimization Algorithm (MSHHOTSA). The primary objective of MSHHOTSA …

The hazards and consequences of slope collapse can be reduced by obtaining a reliable
and accurate prediction of slope safety, hence, developing effective tools for foreseeing their …

This study developed an efficient evolutionary hybrid optimization technique based on
chaotic sand cat optimization (CSCO) and pattern search (PS) for the evaluation of the …

Wireless Body Area Network (WBAN) is a trending technology of Wireless Sensor Networks
(WSN) to enhance the healthcare system. This system is developed to monitor individuals by …

Climate change and environmental protection have a significant impact on thermal plants.
So, the main principles of combined economic-emission dispatch (CEED) problem are …

Mathematical optimization can be a useful strategy for minimizing energy usage while
designing low-energy buildings. To handle building energy optimization challenges, this …

In this paper, optimum transistor sizing of CMOS differential amplifier using tunicate swarm
algorithm (TSA) is proposed. The designing of CMOS differential amplifier is activated to …