A comprehensive survey on NSGA-II for multi-objective optimization and applications

H Ma, Y Zhang, S Sun, T Liu, Y Shan - Artificial Intelligence Review, 2023 - Springer
In the last two decades, the fast and elitist non-dominated sorting genetic algorithm (NSGA-
II) has attracted extensive research interests, and it is still one of the hottest research …

Scalable clustering algorithms for big data: A review

MA Mahdi, KM Hosny, I Elhenawy - IEEE Access, 2021 - ieeexplore.ieee.org
Clustering algorithms have become one of the most critical research areas in multiple
domains, especially data mining. However, with the massive growth of big data applications …

An improved multi-objective discrete bees algorithm for robotic disassembly line balancing problem in remanufacturing

J Liu, Z Zhou, DT Pham, W Xu, J Yan, A Liu… - … International Journal of …, 2018 - Springer
Remanufacturing is an effective way to realize the reutilization of resources. Disassembly, as
an essential step of remanufacturing, is usually finished by manual work which is low …

Optimum geometrical pattern and design of real-size diagrid structures using accelerated fuzzy-genetic algorithm with bilinear membership function

P Ashtari, R Karami, S Farahmand-Tabar - Applied soft computing, 2021 - Elsevier
Diagrids are the efficient systems of tube structures for tall buildings. One of the design
considerations for these structures is the geometrical pattern of the system. In this paper, a …

Genetic algorithm and accelerating fuzzification for optimum sizing and topology design of real-size tall building systems

S Farahmand-Tabar - Applied Genetic Algorithm and Its Variants: Case …, 2023 - Springer
To fulfill the increasing demand for housing in urban cities, various systems of tall buildings
have been introduced tackling the design challenges. Topology design, which can get along …

Clustering retail products based on customer behaviour

V Holý, O Sokol, M Černý - Applied Soft Computing, 2017 - Elsevier
The categorization of retail products is essential for the business decision-making process. It
is a common practice to classify products based on their quantitative and qualitative …

Many-objective fuzzy centroids clustering algorithm for categorical data

S Zhu, L Xu - Expert Systems with Applications, 2018 - Elsevier
Categorical data clustering algorithms, in contrast to numerical ones, are still in their infancy
despite some algorithms have been proposed in the literature. It is known that many …

A study on multi objective optimal clustering techniques for medical datasets

ST Ahmed - … conference on intelligent computing and control …, 2017 - ieeexplore.ieee.org
Data mining or Knowledge mining is researcher's selective area in current trend. Clustering
amongst which is retained as most challenging issue. In this paper, a study is conducted on …

Hybrid multi-objective metaheuristic and possibilistic intuitionistic fuzzy c-means algorithms for cluster analysis

RJ Kuo, CC Hsu, TPQ Nguyen, CY Tsai - Soft Computing, 2024 - Springer
This study proposes a hybrid multi-objective meta-heuristics and possibilistic intuitionistic
fuzzy c-means (PIFCM) algorithms for cluster analysis. The PIFCM algorithms combine …

An efficiency‐improved genetic algorithm and its application on multimodal functions and a 2D common reflection surface stacking problem

YPV Acuna, Y Sun - Geophysical Prospecting, 2020 - earthdoc.org
ABSTRACT Although Genetic Algorithms have found many successful applications in the
field of exploration geophysics, the convergence speed remains a big challenge as Genetic …