A review on computational intelligence for identification of nonlinear dynamical systems
This work aims to provide a broad overview of computational techniques belonging to the
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
area of artificial intelligence tailored for identification of nonlinear dynamical systems. Both …
Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO
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 …
due to personnel and equipment safety. Many approaches have been proposed for …
Particle swarm optimization
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Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
An adaptive particle swarm optimization method based on clustering
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 …
problems. However, the most existing PSO algorithms easily trap into local optima when …
A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization
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 …
that is inspired by the collective foraging behavior of real honey bee colonies. Due to its …
Adaptive particle swarm optimizer combining hierarchical learning with variable population
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 …
various problems. In its variants, hierarchical learning and variable population are two …
Incremental social learning in particle swarms
MAM De Oca, T Stutzle… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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 …
systems composed of multiple learning agents. In this paper, we show that ISL can be very …
A firefly algorithm with self-adaptive population size for global path planning of mobile robot
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 …
found that the matching relationship between the number of fireflies and obstacles in the …
Measuring the curse of population size over swarm intelligence based algorithms
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 …
tools for solving highly non-linear and multi-modal real-world problems. Practical studies …
Effect of population size over parameter-less firefly algorithm
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 …
nonlinear problems in science and engineering. Firefly Algorithm (FA), which is one of them …