The monarch butterfly optimization algorithm for solving feature selection problems
Feature selection (FS) is considered to be a hard optimization problem in data mining and
some artificial intelligence fields. It is a process where rather than studying all of the features …
some artificial intelligence fields. It is a process where rather than studying all of the features …
Network anomaly detection system using genetic algorithm and fuzzy logic
Due to the sheer number of applications that uses computer networks, in which some are
crucial to users and enterprises, network management is essential. Therefore, integrity and …
crucial to users and enterprises, network management is essential. Therefore, integrity and …
[HTML][HTML] Improving K-means clustering with enhanced Firefly Algorithms
In this research, we propose two variants of the Firefly Algorithm (FA), namely inward
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
intensified exploration FA (IIEFA) and compound intensified exploration FA (CIEFA), for …
Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization
SH Wang, K Muhammad, J Hong, AK Sangaiah… - Neural Computing and …, 2020 - Springer
Alcoholism changes the structure of brain. Several somatic marker hypothesis network-
related regions are known to be damaged in chronic alcoholism. Neuroimaging approach …
related regions are known to be damaged in chronic alcoholism. Neuroimaging approach …
Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis
The importance of medical data and the crucial nature of the decisions that are based on
such data, as well as the large increase in its volume, has encouraged researchers to …
such data, as well as the large increase in its volume, has encouraged researchers to …
Novel hybrid evolutionary algorithms for spatial prediction of floods
Adaptive neuro-fuzzy inference system (ANFIS) includes two novel GIS-based ensemble
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …
artificial intelligence approaches called imperialistic competitive algorithm (ICA) and firefly …
Alcoholism detection by data augmentation and convolutional neural network with stochastic pooling
Alcohol use disorder (AUD) is an important brain disease. It alters the brain structure.
Recently, scholars tend to use computer vision based techniques to detect AUD. We …
Recently, scholars tend to use computer vision based techniques to detect AUD. We …
[BOOK][B] Nature-inspired algorithms and applied optimization
XS Yang - 2017 - Springer
Nature-inspired algorithms, especially those based on swarm intelligence, have been
successfully applied to solve a variety of optimization problems in real-world applications …
successfully applied to solve a variety of optimization problems in real-world applications …
Moth search: Variants, hybrids, and applications
J Li, YH Yang, Q An, H Lei, Q Deng, GG Wang - Mathematics, 2022 - mdpi.com
Moth search (MS) is a nature-inspired metaheuristic optimization algorithm based on the
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …
most representative characteristics of moths, Lévy flights and phototaxis. Phototaxis signifies …
Feature selection using firefly optimization for classification and regression models
In this research, we propose a variant of the Firefly Algorithm (FA) for discriminative feature
selection in classification and regression models for supporting decision making processes …
selection in classification and regression models for supporting decision making processes …