The development of efficient optimization algorithms is crucial across various scientific
disciplines. As the complexity and diversity of optimization problems continue to grow …

This paper presents a new evolutionary-based approach called a Subtraction-Average-
Based Optimizer (SABO) for solving optimization problems. The fundamental inspiration of …

Optimization is a method which is used in every field, such as engineering, space, finance,
fashion market, mass communication, travelling, and also in our daily activities. In every …

Metaheuristic algorithms are becoming powerful methods for solving continuous global
optimization and engineering problems due to their flexible implementation on the given …

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

This research article presents the Multi-Objective Hippopotamus Optimizer (MOHO), a
unique approach that excels in tackling complex structural optimization problems. The …

Wind-speed forecasting is pivotal for optimizing resource utilization and promoting
sustainable development. Previous studies have predominantly focused on point and …

Metaheuristic optimization algorithms are global optimization approaches that manage the
search process to efficiently explore search spaces associated with different optimization …

A new metaheuristic algorithm called green anaconda optimization (GAO) which imitates the
natural behavior of green anacondas has been designed. The fundamental inspiration for …

Marine predator algorithm adopts the policy of optimal encounter rate in biological
interaction between predator and prey, inspired by the Lévy and Brownian motions …