Geometric structure information based multi-objective function to increase fuzzy clustering performance with artificial and real-life data
MM Gowthul Alam, S Baulkani - Soft Computing, 2019 - Springer
Grey wolf optimizer (GWO) is an efficient meta-heuristic algorithm that is inspired by the
particular hunting behavior and leadership hierarchy of grey wolves in nature. In this paper …
particular hunting behavior and leadership hierarchy of grey wolves in nature. In this paper …
A multi-objective genetic algorithm with fuzzy c-means for automatic data clustering
S Wikaisuksakul - Applied Soft Computing, 2014 - Elsevier
This article presents a multi-objective genetic algorithm which considers the problem of data
clustering. A given dataset is automatically assigned into a number of groups in appropriate …
clustering. A given dataset is automatically assigned into a number of groups in appropriate …
Data clustering and imputing using a two-level multi-objective genetic algorithm (GA): A case study of maintenance cost data for tunnel fans
YK Aldouri, H Al-Chalabi, L Zhang - Cogent Engineering, 2018 - Taylor & Francis
This study develops a new two-level multi-objective genetic algorithm (GA) to optimise
clustering to reduce and impute missing cost data for fans used in road tunnels by the …
clustering to reduce and impute missing cost data for fans used in road tunnels by the …