The returning of homing pigeons to their lofts from remote and unfamiliar locations with great
accuracy remains a mystery. Pigeon-inspired optimization (PIO), which is a novel mono …

Dynamic modeling and control system design for the hose–drogue system (HDS) in the
docking stage of autonomous aerial refueling (AAR) are investigated in this paper. The …

This paper proposes a novel hybrid algorithm called Fractional-order Particle Swarm
optimization Gravitational Search Algorithm (FPSOGSA) and applies it to the trajectory …

In this paper, the entry trajectory optimization problem of lifting type re-entry vehicle with path
constraints is solved using Pigeon Inspired Optimization (PIO). Entry trajectory optimization …

This paper presents an orthogonal collocation based entry trajectory solution strategy using
Pigeon Inspired Optimization (PIO). PIO is a swarm algorithm based on the homing behavior …

This paper proposes two strategies that generate the entry trajectories using pigeon inspired
optimization (PIO) for a lifting type reentry vehicle. The obtained entry trajectory should be …

Reentry guidance by accelerated fractional-order particle swarm optimization method | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …

The pigeon inspired optimization (PIO) is a metaheuristic algorithm which finds an optimal
solution in the complex search spaces using homing behavior of pigeons. PIO algorithm has …