Optimization and its related solving methods are becoming increasingly important in most
academic and industrial fields. The goal of the optimization process is to make a system or a …

Optimisation problems containing huge total of decision variables are termed as large scale
global optimisation problems which are often considered as abundant challenges to the …

Unmanned aerial vehicles (UAVs) searching for a moving target is a complex search
optimization problem that aims to find a path with maximum probability of observing the …

Battery energy storage system (BESS) can play a major role to overcome the challenges
with renewable energy sources, especially in the context of Smart Grid (SG). In this …

In recent years, the battery energy storage system (BESS) has been considered as a
promising solution for mitigating wind turbine generator intermittencies. In this paper, optimal …

Since its inception in 2014, the Competitive Swarm Optimizer (CSO) has emerged as a
significant advancement in the field of swarm intelligence, particularly in addressing large …

In this paper, the competitive swarm optimization (CSO) algorithm is applied for handling the
economical load dispatch problem. The CSO algorithm is fundamentally encouraged by the …

In this work, the Modified competitive swarm optimizer (MCSO) is applied for solving the
economic dispatch problem. This algorithm got inspiration from particle swarm optimizer …

Competitive swarm optimizer (CSO) has shown advantages for solving large-scale
optimization. However, some major problems, such as low solution accuracy and slow …

Reinforcement learning, specifically Q-learning, has gained a plethora of attention from
researchers in recent decades due to its remarkable performance in various applications …