A self-adaptive improved particle swarm optimization (IPSO) algorithm applied to available transfer capability (ATC) calculation is presented in this paper.

A self-adaptive improved particle swarm optimization (IPSO) algorithm applied to available transfer capability (ATC) calculation is presented in this paper.

A self-adaptive improved particle swarm optimization (IPSO) algorithm applied to available transfer capability (ATC) calculation is presented in this paper.

A new self-adaptive adjustment inertia-weighted strategy factor, which elevates the adaptability of particle swarm optimization (PSO) and accelerates ...

Apr 19, 2022 · PSO is a swarm-based stochastic algorithm proposed originally by Kennedy and Eberhart [44, 91], which exploits the concepts of the social ...

The PSO algorithm finds the optimal path under multiple constraints, such as collision risk, path length, and smoothness. Then, the Self-adaptive Learning ...

Abstract Particle swarm optimization (PSO) is a population-based, stochas- tic search algorithm inspired by the flocking behaviour of birds. The PSO.

PDF | This paper presented an improved self-adaptive particle swarm optimization (IDPSO) algorithm with detection function to solve multimodal function.

We propose the algorithm to calculate the objective function of the gRRAP. And to solve the gRRAP, an improved particle swarm optimization algorithm with a ...

This paper compares the behaviour and performance of a selection of self-adaptive PSO algorithms to that of time-variant algorithms on a suite of 22 ...