A survey of learning-based intelligent optimization algorithms
W Li, GG Wang, AH Gandomi - Archives of Computational Methods in …, 2021 - Springer
A large number of intelligent algorithms based on social intelligent behavior have been
extensively researched in the past few decades, through the study of natural creatures, and …
extensively researched in the past few decades, through the study of natural creatures, and …
Prediction model on student performance based on internal assessment using deep learning
Educational Data Mining and Deep learning play a crucial role in identifying academically
weak students of an institute and help them by developing different recommendation …
weak students of an institute and help them by developing different recommendation …
A survey of artificial immune algorithms for multi-objective optimization
Multi-objective immune algorithm (MOIA) is a heuristic algorithm based on artificial immune
system model. Due to its characteristics of antibody clonal selection, automatic antigen …
system model. Due to its characteristics of antibody clonal selection, automatic antigen …
Recent advances in clonal selection algorithms and applications
Clonal selection algorithms (CSAs) are a kind of Artificial Immune Algorithms (AIAs). In this
paper, recent advances in clonal selection algorithms are summarized and reviewed. First …
paper, recent advances in clonal selection algorithms are summarized and reviewed. First …
An adaptive clonal selection algorithm with multiple differential evolution strategies
Y Wang, T Li, X Liu, J Yao - Information Sciences, 2022 - Elsevier
Clonal selection algorithms have provided significant insights into numerical optimization
problems. However, most mutation operators in conventional clonal selection algorithms …
problems. However, most mutation operators in conventional clonal selection algorithms …
Local feature selection based on artificial immune system for classification
Y Wang, T Li - Applied Soft Computing, 2020 - Elsevier
Conventional feature selection algorithms select a global feature subset for the entire
sample space. In contrast, in this paper we propose an efficient filter local feature selection …
sample space. In contrast, in this paper we propose an efficient filter local feature selection …
A bio-inspired self-learning coevolutionary dynamic multiobjective optimization algorithm for internet of things services
Z Yang, Y Jin, K Hao - IEEE transactions on evolutionary …, 2018 - ieeexplore.ieee.org
The ultimate goal of the Internet of Things (IoT) is to provide ubiquitous services. To achieve
this goal, many challenges remain to be addressed. Inspired from the cooperative …
this goal, many challenges remain to be addressed. Inspired from the cooperative …
Multiple-solution optimization strategy for multirobot task allocation
Multiple solutions are often needed because of different kinds of uncertain failures in a plan
execution process and scenarios for which precise mathematical models and constraints are …
execution process and scenarios for which precise mathematical models and constraints are …
Maritime patrol tasks assignment optimization of multiple USVs under endurance constraint
T Zhu, Y Xiao, H Zhang - Ocean Engineering, 2023 - Elsevier
Unmanned surface vehicles (USVs) are economic, have good maneuverability, and can
perform some complex and high-risk tasks such as maritime supervision, leading to reduced …
perform some complex and high-risk tasks such as maritime supervision, leading to reduced …
Hybridization of cluster-based LDA and ANN for student performance prediction and comments evaluation
S Sood, M Saini - Education and Information Technologies, 2021 - Springer
For a productive life, education plays a critical role to fill individual life with value and
excellence. Education is compulsory to provide things that individuals partake in to compete …
excellence. Education is compulsory to provide things that individuals partake in to compete …