Large-scale optimization problems (LSOPs) have drawn researchers' increasing attention
since their resemblance to real-world problems. However, due to the complex search space …

A novel bio-inspired meta-heuristic algorithm, namely the American zebra optimization
algorithm (AZOA), which mimics the social behaviour of American zebras in the wild, is …

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 …

Abstract Golden Jackal Optimization (GJO) is a recently developed nature-inspired algorithm
that is motivated by the collaborative hunting behaviours of the golden jackals in nature …

In recent years, many researchers have made a continuous effort to develop new and
efficient meta-heuristic algorithms to address complex problems. Hence, in this study, a …

Suppressing an epidemic among regions within limited medical resources has attracted
widespread attention but remains challenges. Thereby, within a fixed budget, a reasonable …

Path planning is the fundamental aspect of applications for autonomous Unmanned Aerial
Vehicles (UAVs) system. It allows UAV to find an optimal path relevant to some specific …

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 …