A review on genetic algorithm: past, present, and future
S Katoch, SS Chauhan, V Kumar - Multimedia tools and applications, 2021 - Springer
In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …
algorithms of great interest in research community are selected for analysis. This review will …
Application of meta-heuristic algorithms for training neural networks and deep learning architectures: A comprehensive review
M Kaveh, MS Mesgari - Neural Processing Letters, 2023 - Springer
The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …
and deep learning (DL) architectures is considered one of the most challenging machine …
A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
Evolutionary deep learning: A survey
As an advanced artificial intelligence technique for solving learning problems, deep learning
(DL) has achieved great success in many real-world applications and attracted increasing …
(DL) has achieved great success in many real-world applications and attracted increasing …
A systematic review of emerging feature selection optimization methods for optimal text classification: the present state and prospective opportunities
Specialized data preparation techniques, ranging from data cleaning, outlier detection,
missing value imputation, feature selection (FS), amongst others, are procedures required to …
missing value imputation, feature selection (FS), amongst others, are procedures required to …
Effective long short-term memory with differential evolution algorithm for electricity price prediction
Electric power, as an efficient and clean energy, has considerable importance in industries
and human lives. Electricity price is becoming increasingly crucial for balancing electricity …
and human lives. Electricity price is becoming increasingly crucial for balancing electricity …
Exploring the use of deep neural networks for sales forecasting in fashion retail
In the increasingly competitive fashion retail industry, companies are constantly adopting
strategies focused on adjusting the products characteristics to closely satisfy customers' …
strategies focused on adjusting the products characteristics to closely satisfy customers' …
An integrated approach based on artificial intelligence and novel meta-heuristic algorithms to predict demand for dairy products: a case study
A Goli, H Khademi-Zare… - … computation in neural …, 2021 - Taylor & Francis
This research specifically addresses the prediction of dairy product demand (DPD). Since
dairy products have a short consumption period, it is important to have accurate information …
dairy products have a short consumption period, it is important to have accurate information …
A review of applications of genetic algorithms in operations management
CKH Lee - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
Many decisions in operations management (OM) belong to the class of Non-deterministic
Polynomial hard problems and thus heuristic search methods have been applied to improve …
Polynomial hard problems and thus heuristic search methods have been applied to improve …
Mayfly in harmony: A new hybrid meta-heuristic feature selection algorithm
T Bhattacharyya, B Chatterjee, PK Singh… - IEEE …, 2020 - ieeexplore.ieee.org
Feature selection is a process to reduce the dimension of a dataset by removing redundant
features, and to use the optimal subset of features for machine learning or data mining …
features, and to use the optimal subset of features for machine learning or data mining …