Heterogeneous pigeon-inspired optimization

Predator-Prey Pigeon-Inspired Optimization for UAV Three-Dimensional Path Planning

Pigeon-inspired optimization (PIO) is a new bio-inspired optimization algorithm. This algorithm searches for global optimum through two models: map and compass operator model is presented based on magnetic field and sun, while landmark operator model is designed based on landmarks. In this paper, a novel Predator-prey pigeon-inspired optimization (PPPIO) is proposed to solve the three-dimension...

Nature-Inspired Optimization Algorithms

The performance of any algorithm will largely depend on the setting of its algorithmdependent parameters. The optimal setting should allow the algorithm to achieve the best performance for solving a range of optimization problems. However, such parameter tuning is itself a tough optimization problem. In this chapter, we present a framework for self-tuning algorithms so that an algorithm to be t...

Biologically inspired heterogeneous multi-agent systems

Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm

This paper presents a physics-inspired metaheuristic optimization algorithm, known as Electromagnetic Field Optimization (EFO). The proposed algorithm is inspired by the behavior of electromagnets with different polarities and takes advantage of a nature-inspired ratio, known as the golden ratio. In EFO, a possible solution is an electromagnetic particle made of electromagnets, and the number o...

A new metaheuristic for optimization: Optics inspired optimization (OIO)

Due to the law of reflection, a concave reflecting surface/mirror causes the incident light rays to converge and a convex surface/mirror causes the light rays to reflect away so that they all appear to be diverging. These converging and diverging behaviors cause that the curved mirrors show different image types depending on the distance between the object and the mirror. We model such optical ...