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:...

Piles have paramount importance for various structural systems in a wide scope of civil and geotechnical engineering works. Accurately predicting the pullout resistance piles is critical long-term resilience infrastructures. In this research, three sophisticated models are employed precisely (Pul) helical piles. Metaheuristic schemes gray wolf optimization (GWO), differential evolution (DE), an...

Watermarking is an operation to hide important information. In this paper, a new watermarking algorithm using Shearlet transform and GWO optimization algorithm as well as SVD transform is presented. The results of this paper show the improvement of robustness and transparency of the new algorithm.

Swarm Intelligence (SI) Algorithms imitate the collective behavior of various swarms or groups in nature. In this work, three representative examples SI algorithms have been selected and thoroughly described, namely Grey Wolf Optimizer (GWO), Whale Optimization Algorithm (WOA), Salp (SSA). Firstly, are reviewed literature, specifically for optimization problems antenna design. Secondly, a compa...

The dynamics model of the unmanned underwater vehicle (UUV) system is highly nonlinear, multi-degree-of-freedom, strongly coupled, and time-varying. Its motion control has been a complex problem due to unknown information about uncertainty working environment. To improve performance reliability UUV trajectory tracking control, method based on nonlinear predictive designed, an improved gray wolf...

Abstract In this paper, an online optimization approach of a fractional-order PID controller based on actor-critic algorithm (FOPID-FOAC) is proposed. The proposed FOPID-FOAC scheme exploits the advantages FOPID and FOAC approaches to improve performance nonlinear systems. built by developing FO-based learning for neural network with adaptive rates. Moreover, FO rectified linear unit (RLU) intr...

Integrating renewable resources into the electrical systems of marine vessels achieves dual goal diversifying energy and reducing greenhouse gas emissions. The presence intermittent sources sudden nonlinear load changes can cause frequency deviations in isolated hybrid microgrids. To address this issue, paper proposes a conventional PID (proportional–integral–derivative)-controller-based LFC (l...

Electric vehicles (EVs) are seen as a necessary component of transportation's future growth. However, the performance batteries related to power density and energy restricts adoption electric vehicles. To make transition from conventional car pure vehicle (PEV), Hybrid Vehicle's (HEV) Energy Management System (EMS) is crucial. The HEVs often powered with hybrid electrical sources, therefore it ...

The most important research area in robotics is navigation algorithms. Robot path planning (RPP) the process of choosing best route for a mobile robot to take before it moves. Finding an ideal or nearly referred as “path optimization.” solution values that satisfy single number objectives, such shortest, smoothest, and safest path, goal. objective this study present overview strategies robots u...

Grey Wolf Optimizer (GWO) is a nature-inspired swarm intelligence algorithm that mimics the hunting behavior of grey wolves. GWO, in its basic form, real coded needs modifications to deal with binary optimization problems. In this paper, previous work on binarization GWO are reviewed, and classified respect their encoding scheme, updating strategy, transfer function. Then, we propose novel (nam...