Resource scheduling becomes the prominent issue in cloud computing due to rapid growth
of on demand request and heterogeneous nature of cloud resources. Cloud provides …

The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

Over the ages, nature has constantly been a rich source of inspiration for science, with much
still to discover about and learn from. Swarm Intelligence (SI), a major branch of artificial …

The hydrothermal liquefaction process has recently attracted more attention in biorefinery
design and implementation because of its capability of handling various wet biomass …

Feature selection is a required preprocess stage in most of the data mining tasks. This paper
presents an improved Harris hawks optimization (HHO) to find high-quality solutions for …

Abstract Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta-heuristic
that has been utilized as a powerful optimization tool in a wide range of applications since its …

The metaheuristic algorithms do not depend on the functional form when solving the
optimization problem. They have strong adaptability and are widely used in many fields …

Whale optimization algorithm (WOA) is a biological-inspired optimization algorithm with the
advantage of global optimization ability, less control parameters and easy implementation. It …

Abstract Particle Swarm Optimization (PSO) is a well-known swarm intelligence (SI)
algorithm employed for solving various optimization problems. This algorithm suffers from …