This paper investigates the operation of a hybrid power system through a novel fuzzy control
scheme. The hybrid power system employs various autonomous generation systems like …

In this paper, a hybrid gravitational search algorithm (GSA) and pattern search (PS)
technique is proposed for load frequency control (LFC) of multi-area power system. Initially …

This paper highlights the load frequency control using dual mode Bat algorithm based
scheduling of PI controllers for interconnected power systems. The bat inspired algorithm …

Scalability is a crucial aspect of designing efficient algorithms. Despite their prevalence,
large-scale dynamic optimization problems are not well studied in the literature. This paper …

Energy conservation and emission reduction have become an urgent and important issue
for the shipping industry in the context of low-carbon shipping. For sail-assisted ships, the …

In order to decrease the time of construction of self-assembly algorithm based on the
construction of wasp nests, with respect to the number of iterations, this work proposes a …

This paper proposes a disruption based gravitational search algorithm (DGSA) to find the
optimum solution for short term hydrothermal scheduling (STHTS) problem, which considers …

This paper presents a novel Particle Swarm Optimization algorithm to address Dynamic
Optimization Problems. The algorithm incorporates a neighbor-based learning strategy into …

Robust optimization over time is a new way to tackle dynamic optimization problems where
the goal is to find solutions that remain acceptable over an extended period of time. The …

Variable grouping provides an efficient approach to large-scale optimization, and
multipopulation strategies are effective for both large-scale optimization and dynamic …