Ant lions are insect larvae that feed on the liquefied internal components of insect prey. Prey capture is assisted by the injection of toxins that are reportedly derived from both the insect and bacterial symbionts. These larvae display interesting gut physiology where the midgut is not connected to the hindgut, preventing elimination of solid waste until adulthood. The presence of a discontin...

An IoT healthcare system refers to the use of Internet Things (IoT) devices and technologies in industry. It involves integration various interconnected devices, sensors, systems collect, monitor, transmit health-related data for medical purposes. Blockchain-assisted intrusion detection on is an innovative approach enhancing security privacy sensitive data. By combining decentralized immutable ...

Traditional approaches tend to cause classier bias in the imbalanced data set, resulting poor classification performance for minority classes. In particular, there are many financial fraud, network intrusion, and fault detection, where recognition rate of classes is pertinent than majority Therefore, pressure on developing efficient algorithms solve class imbalance problem. To this end, article...

Abstract Hunger Games Search (HGS) is a newly developed swarm-based algorithm inspired by the cooperative behavior of animals and their hunting strategies to find prey. However, HGS has been observed exhibit slow convergence may struggle with unbalanced exploration exploitation phases. To address these issues, this study proposes modified version called mHGS, which incorporates five techniques:...

In this paper, a general framework was presented to boost heuristic optimization algorithms based on swarm intelligence from static to dynamic environments. Regarding the problems of dynamic optimization as opposed to static environments, evaluation function or constraints change in the time and hence place of optimization. The subject matter of the framework is based on the variability of the ...

This paper presents the application of an active energy management strategy to a hybrid system consisting proton exchange membrane fuel cell (PEMFC), battery, and supercapacitor. The purpose is control battery supercapacitor states charge (SOCs) as well minimizing hydrogen consumption. Energy should be applied systems created in this way increase efficiency working conditions. In study, optimiz...

In this paper, a nonlinear PID (NLPID) controller is used to replace traditional overcome the influence of factors in computer numerical control (CNC) system. A particle swarm optimization based on generalized opposition-based learning (G-PSO) algorithm proposed optimize NLPID controller. The convergence speed and global ability (PSO) are improved by introducing learning. natural selection muta...