Multi-task optimization and multi-task evolutionary computation in the past five years: A brief review

Q Xu, N Wang, L Wang, W Li, Q Sun - Mathematics, 2021 - mdpi.com
Traditional evolution algorithms tend to start the search from scratch. However, real-world
problems seldom exist in isolation and humans effectively manage and execute multiple …

A survey of evolutionary computation for association rule mining

A Telikani, AH Gandomi, A Shahbahrami - Information Sciences, 2020 - Elsevier
Abstract Association Rule Mining (ARM) is a significant task for discovering frequent patterns
in data mining. It has achieved great success in a plethora of applications such as market …

Application of genetic algorithm combined with improved SEIR model in predicting the epidemic trend of COVID-19, China

Z Qiu, Y Sun, X He, J Wei, R Zhou, J Bai, S Du - Scientific Reports, 2022 - nature.com
Since the outbreak of the 2019 Coronavirus disease (COVID-19) at the end of 2019, it has
caused great adverse effects on the whole world, and it has been hindering the global …

Intelligent mining algorithm for complex medical data based on deep learning

X Li, D Li, Y Deng, J Xing - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
In order to address the problems of low precision, long time-consuming and low recall rate in
mining complex attribute medical data in medical information, an intelligent mining algorithm …

A cooperative coevolution framework for evolutionary learning and instance selection

RT Liaw - Swarm and Evolutionary Computation, 2021 - Elsevier
Data science becomes an emerging topic in developing computational and artificial
intelligence techniques due to the rapid growth of information and data over past decade …

[PDF][PDF] Optimal power allocation in downlink non-orthogonal multiple access (NOMA)

WF Alghasmari, L Nassef - International Journal of …, 2021 - pdfs.semanticscholar.org
Fifth generation of wireless cellular networks promise to enable better services anytime and
anywhere. Nonorthogonal multiple access (NOMA) stands as a suitable multiple accessing …

Timetable optimization for single bus line involving fuzzy travel time

X Li, H Du, H Ma, C Shang - Soft Computing, 2018 - Springer
Timetable optimization is an important step for bus operations management, which
essentially aims to effectively link up bus carriers and passengers. Generally speaking, bus …

Comparative analysis of mining fuzzy association rule using genetic algorithm

S Kar, MMJ Kabir - 2019 International Conference on Electrical …, 2019 - ieeexplore.ieee.org
Genetic algorithm is a global optimization search technique that offers a powerful search
method. Fuzzy logic is used to find association rules that can overcome the problems of crisp …

Multifactorial genetic fuzzy data mining for building membership functions

TC Wang, RT Liaw - 2020 IEEE Congress on Evolutionary …, 2020 - ieeexplore.ieee.org
Association mining is a famous data mining technology because its form is explainable by
human beings. Innovating fuzzy set theory to associations mining provides a solution to …

An evolutionary algorithm based on approximation method and related techniques for solving bilevel programming problems

Y Liu, H Li, H Chen, M Ma - Plos one, 2022 - journals.plos.org
In the engineering and economic management fields, optimisation models frequently involve
different decision-making levels. These are known as multi-level optimisation problems …