FKMAWCW: categorical fuzzy k-modes clustering with automated attribute-weight and cluster-weight learning

AG Oskouei, MA Balafar, C Motamed - Chaos, Solitons & Fractals, 2021 - Elsevier
The fuzzy k-modes (FKM) is a popular method for clustering categorical data. However, the
main problem of this algorithm is that it is very sensitive to the initialization of primary …

Colony-Based Search Algorithm for numerical optimization

P Civicioglu, E Besdok - Applied Soft Computing, 2024 - Elsevier
The efficiency of an Evolutionary Algorithm is highly sensitive to the mutation and crossover
operators it possesses, as well as to the strategy used for determining the direction of …

Maneuvering target oriented digital camouflage image generation method

HN Pei, M Wu, XQ Huang, M Ding, XX Zhang - Displays, 2023 - Elsevier
Since the digital camouflage generation method based on fixed single background image
cannot fully meet the hidden need of maneuvering targets. In this paper, a method of …

Alternated superior chaotic biogeography-based algorithm for optimization problems

D Kumar, M Rani - International Journal of Applied Metaheuristic …, 2022 - igi-global.com
In this study, we consider a switching strategy that yields a stable desirable dynamic
behaviour when it is applied alternatively between two undesirable dynamical systems …

Recommendation System for Collegian Student's Weekly Course Schedule

S Limanto, H Arwoko, JA Juwono - Jurnal Komputer Terapan, 2022 - repository.ubaya.ac.id
Existing research on course scheduling was conducted only from the institutional side.
However, students usually have other considerations, such as routine activities outside of …

[PDF][PDF] Clustering European Countries Based on Energy Dependence

R Matla, C Cavicchia, P Franses - 2020 - thesis.eur.nl
The aim of this thesis is to create homogeneous groups of the member states of the
European Union based on their energy dependence levels and import dependence, in order …