Swarm intelligence: a review of optimization algorithms based on animal behavior
F Valdez - Recent advances of hybrid intelligent systems based …, 2021 - Springer
In this paper a review about the optimization algorithms based on swarm intelligence (SI)
with animal behavior is presented. In this review, are analyzed the most popular algorithms …
with animal behavior is presented. In this review, are analyzed the most popular algorithms …
[PDF][PDF] Missing data prediction using correlation genetic algorithm and SVM approach
Data exists in large volume in the modern world, it becomes very useful when decoded
correctly to inform decision making towards tackling real word issues. However, when the …
correctly to inform decision making towards tackling real word issues. However, when the …
Big data, classification, clustering and generate rules: an inevitably intertwined for prediction
Big Data filed is an unsettled standard comparing with a traditional database, data mining, or
data warehouse. Stability measure aims to acquire the quality dataset which encourages to …
data warehouse. Stability measure aims to acquire the quality dataset which encourages to …
[Retracted] An Approach to Acquire the Constraints Using Panel Big Data Hybrid Association Rule and Discretization Process for Breast Cancer Prediction
In recent years, big data has become an important branch of computer science. However,
without AI, it is difficult to dive into the context of data as a prediction term, relying on a large …
without AI, it is difficult to dive into the context of data as a prediction term, relying on a large …
An improved fuzzy adaptive firefly algorithm-based hybrid clustering algorithms
A Agrawal, BK Tripathy… - International Journal of …, 2021 - World Scientific
The implication of firefly and fuzzy firefly optimization algorithms has been greatly witnessed
in clustering techniques and extensively used in applications such as Image segmentation …
in clustering techniques and extensively used in applications such as Image segmentation …
Intelligent decision-making framework for big data using enhanced honey badger-based adaptive hybrid deep learning network
D Kavitha, A Chinnasamy… - International Journal of …, 2025 - inderscienceonline.com
By utilising the conventional models, it is also consuming more time for processing. Hence,
there is a crucial requirement for real-world application over big data procedures to perform …
there is a crucial requirement for real-world application over big data procedures to perform …
A novel hybrid firefly algorithm based on the vector angle learning mechanism
C Xu, H Meng, Y Wang - IEEE Access, 2020 - ieeexplore.ieee.org
The firefly algorithm (FA) is one of the swarm intelligence algorithms which can solve global
optimization problems accurately. In the traditional FA, the position of each firefly can only be …
optimization problems accurately. In the traditional FA, the position of each firefly can only be …
A Roadmap for Artificial Intelligence Augmented Software Development Life Cycle: Aspects of Knowledge Vaporization
Artificial Intelligence Augmented Software Development Life Cycle is a process for
developing software that incorporates AI techniques and technologies. One aspect of …
developing software that incorporates AI techniques and technologies. One aspect of …
Analyzing Data Format Interoperability in API Ecosystems Using Big Data Architecture
W Alzyadat, S Al-Showarah - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The API is a key player in cut edge technology for interact and exchange information across
platforms whatever internally or external where the transfer information needs to be adjusted …
platforms whatever internally or external where the transfer information needs to be adjusted …
SS Evaluation Based on Vague Assessment Big Data: Hybrid Model of Multi-Weight Combination and Improved TOPSIS by Relative Entropy.
L Li - Journal of Information Processing Systems, 2024 - search.ebscohost.com
Driven by the vague assessment big data, a product service system (PSS) evaluation
method is developed based on a hybrid model of multi-weight combination and improved …
method is developed based on a hybrid model of multi-weight combination and improved …