The Bat Algorithm is a nature-inspired optimization algorithm designed to solve complex optimization problems. Mimicking the echolocation behavior of bats, it balances exploration and exploitation to ...

Abstract: Stochastic optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO) and bat algorithm (BA) carry out global optimization but typically consume substantial ...

This project showcases usage of bat algorithm and its variants with different types and methods of image segmentation. It is used for grayscale, colored and semantic segmentation. Otsu's method's ...

Energy conservation and congestion control are widely researched topics in Wireless Sensor Networks in recent years. The main objective is to develop a model to find the optimized path on the basis of ...

Abstract: Clustering as an unsupervised learning method is a process of dividing a data object or observation object into a subset, that is to classify the data through observation learning instead of ...

Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in dealing with various optimization problems in diverse fields, such as power and energy systems, ...

Bat Algorithm (BA) is a nature-inspired metaheuristic search algorithm designed to efficiently explore complex problem spaces and find near-optimal solutions. The algorithm is inspired by the ...

Since its inception, cloud computing has greatly transformed our lives by connecting the entire world through shared computational resources over the internet. The COVID-19 pandemic has also disrupted ...