The path planning of unmanned aerial vehicle (UAV) in three-dimensional (3D) environment
is an important part of the entire UAV's autonomous control system. In the constrained …

This work proposes a novel optimization algorithm which can be used to solve a wide range
of mathematical optimization problems where the global minimum or maximum is required …

In the vast majority of the published article on flexible job shop scheduling problems (FJSP),
machines are the only resources with limited capacities. There are also a sizable number of …

The application of metaheuristic algorithms is one of the most promising approaches for
solving real-world problems. The marine predators algorithm (MPA) is a recently proposed …

Equilibrium Optimizer (EO) is a newly developed physics-based metaheuristic algorithm that
is based on control volume mass balance models, and has shown competitive performance …

The classical genetic algorithm utilizes random population initialization, an unguided
crossover operator, and an unguided mutation operator for feature selection. However, this …

As a meta-heuristic algorithm that simulates the intelligence of gray wolves, grey wolf
optimizer (GWO) has a wide range of applications in practical problems. As a kind of local …

An online resource scheduling framework is proposed for minimizing the sum of weighted
task latency for all the Internet-of-Things (IoT) users, by optimizing offloading decision …

This study introduces a novel meta-heuristic algorithm known as Homonuclear Molecules
Optimization (HMO) for optimizing complex and nonlinear problems. HMO is inspired by the …

Electric vehicles (EVs) have been adopted in urban areas to reduce environmental pollution
and global warming due to the increasing number of freight vehicles. However, there are still …