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 …
II) has attracted extensive research interests, and it is still one of the hottest research …
Multi-objective optimization techniques: a survey of the state-of-the-art and applications: Multi-objective optimization techniques
In recent years, multi-objective optimization (MOO) techniques have become popular due to
their potentiality in solving a wide variety of real-world problems, including bioinformatics …
their potentiality in solving a wide variety of real-world problems, including bioinformatics …
An enhanced fast non-dominated solution sorting genetic algorithm for multi-objective problems
W Deng, X Zhang, Y Zhou, Y Liu, X Zhou, H Chen… - Information …, 2022 - Elsevier
Multi-modal multi-objective optimization problem (MMOPs) has attracted more and more
attention in evolutionary computing recently. It is not easy to solve these problems using the …
attention in evolutionary computing recently. It is not easy to solve these problems using the …
Electrical load forecasting: A deep learning approach based on K-nearest neighbors
Y Dong, X Ma, T Fu - Applied Soft Computing, 2021 - Elsevier
Deep learning approaches have shown superior advantages than shallow techniques in the
field of electrical load forecasting; however, their applications in existing studies encounter …
field of electrical load forecasting; however, their applications in existing studies encounter …
GBK-means clustering algorithm: An improvement to the K-means algorithm based on the bargaining game
Due to its simplicity, versatility and the diversity of applications to which it can be applied, k-
means is one of the well-known algorithms for clustering data. The foundation of this …
means is one of the well-known algorithms for clustering data. The foundation of this …
A multi-objective pigeon-inspired optimization approach to UAV distributed flocking among obstacles
H Qiu, H Duan - Information Sciences, 2020 - Elsevier
Unmanned aerial vehicle (UAV) flocking control with obstacle avoidance is a many-objective
optimization problem for centralized algorithms. A UAV flocking distributed optimization …
optimization problem for centralized algorithms. A UAV flocking distributed optimization …
A new hybrid wrapper TLBO and SA with SVM approach for gene expression data
Gene expression dataset contains a small number of tissues and thousands or tens of
thousands of noisy and redundant genes. This can lead to possibly overfitting and curse of …
thousands of noisy and redundant genes. This can lead to possibly overfitting and curse of …
Influence maximization considering fairness: A multi-objective optimization approach with prior knowledge
H Gong, C Guo - Expert Systems with Applications, 2023 - Elsevier
The influence maximization problem (IMP) has been one of the most attractive topics in the
field of social networks. However, sometimes fairness in IMP should be considered …
field of social networks. However, sometimes fairness in IMP should be considered …
Multistage impact energy distribution for whole vehicles in high-speed train collisions: modeling and solution methodology
With the increasing speed of railway vehicles, deciding how to reasonably distribute impact
energy to each vehicle has been a widespread concern in safety protection systems. This …
energy to each vehicle has been a widespread concern in safety protection systems. This …
A fair approach for multi-objective water resources allocation
J Tian, S Guo, D Liu, Z Pan, X Hong - Water Resources Management, 2019 - Springer
Due to the effect of climate change, rapid population growth and widespread water pollution,
fresh water becomes an increasingly scarce natural resource. Optimal allocation of water …
fresh water becomes an increasingly scarce natural resource. Optimal allocation of water …