Islanding is one of the most important concerns of the grid connected distributed resources due to personnel and equipment safety. Many approaches have been proposed for …
KL Du, MNS Swamy, KL Du, MNS Swamy - Search and optimization by …, 2016 - Springer
Particle Swarm Optimization | SpringerLink Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Particle swarm optimization (PSO) is an effective method for solving a wide range of problems. However, the most existing PSO algorithms easily trap into local optima when …
The artificial bee colony (ABC) algorithm is a new branch of evolutionary algorithms (EAs) that is inspired by the collective foraging behavior of real honey bee colonies. Due to its …
H Liu, J Zhang, MC Zhou - IEEE Transactions on Systems, Man …, 2022 - ieeexplore.ieee.org
Particle swarm optimizer (PSO) is an optimization technique that has been applied to solve various problems. In its variants, hierarchical learning and variable population are two …
Incremental social learning (ISL) was proposed as a way to improve the scalability of systems composed of multiple learning agents. In this paper, we show that ISL can be very …
F Li, X Fan, Z Hou - IEEE Access, 2020 - ieeexplore.ieee.org
In the simulation experiment of path planning of mobile robot based on firefly algorithm, it is found that the matching relationship between the number of fireflies and obstacles in the …
Swarm-intelligence based algorithms attract researchers as they are simple and effective tools for solving highly non-linear and multi-modal real-world problems. Practical studies …
Nature-inspired optimization algorithms have proved their efficacy for solving highly nonlinear problems in science and engineering. Firefly Algorithm (FA), which is one of them …