A comprehensive review of the fireworks algorithm
The fireworks algorithm, which is inspired from the phenomenon of fireworks explosion, is a
special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been …
special kind of swarm intelligence algorithm proposed in 2010. Since then, it has been …
A novel multiobjective fireworks algorithm and its applications to imbalanced distance minimization problems
Recently, multimodal multiobjective optimization problems (MMOPs) have received
increasing attention. Their goal is to find a Pareto front and as many equivalent Pareto …
increasing attention. Their goal is to find a Pareto front and as many equivalent Pareto …
[HTML][HTML] 自适应变异麻雀搜索优化算法
唐延强， 李成海， 宋亚飞， 陈晨， 曹波 - 北京航空航天大学学报, 2021 - bhxb.buaa.edu.cn
针对麻雀搜索算法前期易陷入局部极值点, 后期寻优精度不高等问题, 提出一种自适应变异麻雀
搜索算法(AMSSA). 先通过猫映射混沌序列初始化种群, 增强初始种群的随机性, 遍历性 …
搜索算法(AMSSA). 先通过猫映射混沌序列初始化种群, 增强初始种群的随机性, 遍历性 …
Adaptive mutation sparrow search optimization algorithm
Y TANG, C LI, Y SONG, C Chen, B CAO - 北京航空航天大学学报, 2021 - bhxb.buaa.edu.cn
To address the problems that the sparrow search algorithm is prone to fall into local
extremum points in the early stage and not high accuracy in the later stage of the search, an …
extremum points in the early stage and not high accuracy in the later stage of the search, an …
A neighborhood information utilization fireworks algorithm and its application to traffic flow prediction
X Liu, X Qin - Expert Systems with Applications, 2021 - Elsevier
Abstract A Fireworks Algorithm (FWA) is a novel intelligent optimization algorithm inspired by
fireworks explosion, and it has been shown to be superior or competitive in various fields …
fireworks explosion, and it has been shown to be superior or competitive in various fields …
Excogitating marine predators algorithm based on random opposition‐based learning for feature selection
K Balakrishnan, R Dhanalakshmi… - Concurrency and …, 2022 - Wiley Online Library
Obtaining precise information from a high‐dimensional dataset is one of the most difficult
tasks as datasets contain more features and fewer samples. The high‐dimensionality of the …
tasks as datasets contain more features and fewer samples. The high‐dimensionality of the …
A fireworks algorithm based Pi-Sigma neural network (FWA-PSNN) for modelling and forecasting chaotic crude oil price time series
SC Nayak - EAI Endorsed Transactions on Energy Web, 2020 - publications.eai.eu
Capturing the complex correlations among the data on the crude oil price time series is
challenging, hence accurate prediction of it is difficult. Contrast to multilayer artificial neural …
challenging, hence accurate prediction of it is difficult. Contrast to multilayer artificial neural …
ANN training using fireworks algorithm and its variants for PV array fault classification
S Sebbane, N El Akchioui - 2022 IEEE 3rd international …, 2022 - ieeexplore.ieee.org
In recent years, strong photovoltaic systems are now more necessary than ever, and this
development has been accompanied by the demand for diagnostic systems characterized …
development has been accompanied by the demand for diagnostic systems characterized …
Meta-optimization of multi-objective population-based algorithms using multi-objective performance metrics
K Łapa - Information Sciences, 2019 - Elsevier
In this paper, a method for optimizing the parameters of multi-objective population-based
algorithms is proposed. It is based on a meta-optimization, in which an external algorithm …
algorithms is proposed. It is based on a meta-optimization, in which an external algorithm …
Binary northern goshawk optimization for feature selection on micro array cancer datasets
S Umarani, NA Balaji, K Balakrishnan, N Guptha - Evolving Systems, 2024 - Springer
Abstract Northern Goshawk Optimization (NGO) is a recently proposed swarm-based
optimization method that hunts like a northern goshawk. However, while the approach …
optimization method that hunts like a northern goshawk. However, while the approach …