Brain storm optimization algorithm: a review
For swarm intelligence algorithms, each individual in the swarm represents a solution in the
search space, and it also can be seen as a data sample from the search space. Based on …
search space, and it also can be seen as a data sample from the search space. Based on …
Enhancing learning efficiency of brain storm optimization via orthogonal learning design
In brain storm optimization (BSO), the convergent operation utilizes a clustering strategy to
group the population into multiple clusters, and the divergent operation uses this cluster …
group the population into multiple clusters, and the divergent operation uses this cluster …
Multi-objective feature selection with missing data in classification
Y Xue, Y Tang, X Xu, J Liang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Feature selection (FS) is an important research topic in machine learning. Usually, FS is
modelled as a bi-objective optimization problem whose objectives are: 1) classification …
modelled as a bi-objective optimization problem whose objectives are: 1) classification …
CBSO: a memetic brain storm optimization with chaotic local search
Brain storm optimization (BSO) is a newly proposed optimization algorithm inspired by
human being brainstorming process. After its appearance, much attention has been paid on …
human being brainstorming process. After its appearance, much attention has been paid on …
A comprehensive survey of brain storm optimization algorithms
S Cheng, Y Sun, J Chen, Q Qin, X Chu… - 2017 IEEE Congress …, 2017 - ieeexplore.ieee.org
The development, implementation, variant, and future directions of a new swarm intelligence
algorithm, brain storm optimization (BSO) algorithm, are comprehensively surveyed. Brain …
algorithm, brain storm optimization (BSO) algorithm, are comprehensively surveyed. Brain …
Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems
AR Jordehi - International Journal of Electrical Power & Energy …, 2015 - Elsevier
In electric power systems, finding optimal location and setting of flexible AC transmission
system (FACTS) devices represents a difficult optimisation problem. This is due to its …
system (FACTS) devices represents a difficult optimisation problem. This is due to its …
Classification and feature selection method for medical datasets by brain storm optimization algorithm and support vector machine
Medicine is one of the sciences where development of computer science enables a lot of
improvements. Usage of computers in medicine increases the accuracy and speeds up …
improvements. Usage of computers in medicine increases the accuracy and speeds up …
Improved v-support vector regression model based on variable selection and brain storm optimization for stock price forecasting
Big data mining, analysis and forecasting always play a vital role in modern economic and
industrial fields, and selecting an optimization model to improve time series' forecasting …
industrial fields, and selecting an optimization model to improve time series' forecasting …
Population diversity maintenance in brain storm optimization algorithm
The convergence and divergence are two common phenomena in swarm intelligence. To
obtain good search results, the algorithm should have a balance on convergence and …
obtain good search results, the algorithm should have a balance on convergence and …
Brain storm optimization algorithm in objective space
Y Shi - 2015 IEEE Congress on evolutionary computation …, 2015 - ieeexplore.ieee.org
Brain storm optimization algorithm is a newly proposed swarm intelligence algorithm, which
has two main operations, ie, convergent operation and divergent operation. In the original …
has two main operations, ie, convergent operation and divergent operation. In the original …