The teaching-learning-based artificial bee colony (TLABC) is a new hybrid swarm-based
metaheuristic search algorithm. It combines the exploitation of the teaching learning-based …

Swarm intelligence (SI) is unique and best-known area of research. For computer scientists,
engineers, economists, bioinformatician, functional researchers, and several other …

In this research, a methodology was developed to optimize the design of Warm Mix Asphalt
(WMA) with the inclusion of three recycled materials as partial replacement of natural …

In recent years, as an effective global optimization technique, artificial bee colony (ABC)
algorithm has attracted increasing attention for its good performance yet easy …

The artificial bee colony (ABC) algorithm is a relatively new algorithm inspired by nature and
has been shown to be efficient in contrast to other optimization algorithms. Nonetheless …

In recent years, to enhance the exploitation capability of the artificial bee colony (ABC)
algorithm, some neighborhood-based ABC variants have been designed by utilizing the …

Artificial bee colony (ABC) algorithm mimics the foraging behaviour of bee colonies to solve
optimization problems in which different types of bees adopt the same search equation. In …

In this paper, a Joint set-up procedure for tuning metaheuristic algorithms' parameters is
proposed. The approach is applied to a genetic algorithm (GA) and tested further on the …

The price demand relation is a fundamental concept that models how price affects the sale
of a product. It is critical to have an accurate estimate of its parameters, as it will impact the …

Cloud computing has emerged as a cornerstone technology for modern computational
paradigms due to its scalability and flexibility. One critical aspect of cloud computing is …