Metaheuristic algorithms are widely used in various fields of optimization engineering.
These algorithms have become popular because of their ability to explore and exploit …

The Grey Wolf Optimizer (GWO) has emerged as one of the most captivating swarm
intelligence methods, drawing inspiration from the hunting behavior of wolf packs. GWO's …

In recent years, swarm intelligence algorithms have received extensive attention and
research. Swarm intelligence algorithms are a biological heuristic method, which is widely …

This paper proposes a multi-objective Slime Mould Algorithm (MOSMA), a multi-objective
variant of the recently-developed Slime Mould Algorithm (SMA) for handling the multi …

Actual evapotranspiration (AET) is one of the decisive factors controlling the water balance
at the catchment level, particularly in arid and semi-arid regions, but measured data for …

Currently, one of the most popular research topics is the development of a new meta-
heuristic algorithm for solving multi-objective optimization problems. However, few of the …

In this work, a comprehensive review of the multi-objective grey wolf optimizer (MOGWO) is
provided. In multi-objective optimization (MO), more than one objective function must be …

With the gradual opening and rapid development of power markets, large-scale multi-area
interconnected power systems (LMIPSs) have become an inevitable pattern. The traditional …

Abstract The recently introduced Marine Predators Algorithm (MPA) exhibits competitive
performance in solving optimization problems. However, it often prematurely converges due …

In this paper, an online optimization approach of a fractional-order PID controller based on a
fractional-order actor-critic algorithm (FOPID-FOAC) is proposed. The proposed FOPID …