The multi-layer perceptron (MLP) is a highly popular artificial neural network used for
classification across various applications. Swarm intelligence algorithms, such as the grey …

Torrefaction kinetics is fundamental for the theoretical investigation and industrial
application of torrefaction processes. Most of biomass torrefaction kinetic studies focused on …

Clustering analysis is essential for obtaining valuable information from a predetermined
dataset. However, traditional clustering methods suffer from falling into local optima and an …

In this paper, a novel Complementation-Distributed Activation Energy Model (C-DAEM) has
been proposed. The model considered the complementation effect between the frequency …

Clustering is an unsupervised learning technique widely used in the field of data mining and
analysis. Clustering encompasses many specific methods, among which the K-means …

Data clustering is an important research topic in data mining. Although cluster analysis
based on optimization algorithms has attracted great attention, optimization-based …

In this paper, a hybrid nature-inspired metaheuristic algorithm based on the Genetic
Algorithm and the African Buffalo Optimization is proposed. The hybrid approach adaptively …

The deficiency number of one hand, ie, the number of tiles needed to change in order to win,
is an important factor in the game Mahjong, and plays a significant role in the development …

With the development of artificial intelligence, numerous researchers are attracted to study
new heuristic algorithms and improve traditional algorithms. Artificial bee colony (ABC) …

Data clustering is a machine learning method for unsupervised learning that is popular in
the two areas of data analysis and data mining. The objective is to partition a given dataset …