A mathematical model for the WSN coverage and connectivity optimization problem is developed as the foundation. The Grey Wolf Optimizer (GWO) is enhanced using a chaotic map, improving its ability to find the b
This research presents a novel virtual multi-mission search algorithm that synergizes an enhanced Grey Wolf Optimization (GWO) protocol with a Sine-Cosine Approach (SCA). As optimization algorithms gain traction in addressing complex, multifaceted problems, it becomes crucial to enhance their efficacy ...
Traditional calibration technology has been widely used in measurement and monitoring; however, there are limitations of poor calibration accuracy, which can not meet the accuracy requirements in some scenarios. About this problem, we proposed a grey wolf optimization algorithm based on levy flight and...
Point cloud registration based on surface feature extraction and an improved Grey Wolf Optimization algorithm doi:10.1038/s41598-025-04437-yThis study introduces an innovative feature point extraction method combined with an improved Grey Wolf Optimizer (GWO)-based coarse registration approach to address...
Evolutionary computation-based algorithmConstrained optimization problemsAugmented Lagrangian functionGrey wolf optimizationThis paper presents a novel constrained optimization algorithm named MAL-IGWO, which integrates the benefit of the improved grey wolf optimization (IGWO) capability for discovering the global...
The IGWO algorithm presents a refined version of the Grey Wolf Optimizer (GWO), a metaheuristic algorithm inspired by the social hierarchy and hunting behavior of grey wolves. IGWO builds upon the foundation of GWO, enhancing its capabilities for optimizing complex problems by introducing innovative...
Metaheuristic optimization techniques – moth-flame optimization, salp swarm algorithm, improved grey wolf optimizer, and multi-verse optimizer – are employed to find the best solution for the generation cost, losses, and emissions. Various scenarios are examined to approve the ability of the ...
However, due to the immaturity of this algorithm, it still has some defects. Therefore, we propose an improved multiobjective model based on Grey Wolf Optimization Algorithm related to Kalman filter and reinforcement learning operator, where Kalman filter is introduced to make the solution set ...
The optimal scheduling problem of integrated energy system (IES) has the characteristics of high-dimensional nonlinearity. Using the traditional Grey Wolf Optimizer (GWO) to solve the problem, it is easy to fall into a local optimum in the process of opt
The study proposes an enhanced, high-caliber Population Evolution Polar Lights Optimization (IPLO) algorithm to address the shortcomings of the existing Polar Lights Optimization (PLO) method. These include issues like insufficient diversity in the population, a lack of speed in convergence, and an ...