An insight into bio-inspired and evolutionary algorithms for global optimization: review, analysis, and lessons learnt over a decade of competitions
Over the recent years, continuous optimization has significantly evolved to become the
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
mature research field it is nowadays. Through this process, evolutionary algorithms had an …
Nature-inspired chemical reaction optimisation algorithms
N Siddique, H Adeli - Cognitive computation, 2017 - Springer
Nature-inspired meta-heuristic algorithms have dominated the scientific literature in the
areas of machine learning and cognitive computing paradigm in the last three decades …
areas of machine learning and cognitive computing paradigm in the last three decades …
A machine learning approach to detect router advertisement flooding attacks in next-generation IPv6 networks
Router advertisement (RA) flooding attack aims to exhaust all node resources, such as CPU
and memory, attached to routers on the same link. A biologically inspired machine learning …
and memory, attached to routers on the same link. A biologically inspired machine learning …
Deep learning for daily potential evapotranspiration using a HS-LSTM approach
X Yan, N Yang, R Ao, A Mohammadian, J Liu… - Atmospheric …, 2023 - Elsevier
Accurate estimation of potential evapotranspiration (ET 0) is important for the sound design
of irrigation schedules, management of water resources, assessment of hydrological …
of irrigation schedules, management of water resources, assessment of hydrological …
A novel cognitively inspired state transition algorithm for solving the linear bi-level programming problem
Linear bi-level programming (LBLP) is a useful tool for modeling decentralized decision-
making problems. It has two-level (upper-level and lower-level) objectives. Many studies …
making problems. It has two-level (upper-level and lower-level) objectives. Many studies …
Developing a bio-inspired multi-gene genetic programming based intelligent estimator to reduce speckle noise from ultrasound images
SG Javed, A Majid, YS Lee - Multimedia Tools and Applications, 2018 - Springer
The speckle noise commonly occurs in ultrasound imaging based applications. Due to the
multiplicative nature, speckle noise deteriorates the visual quality of ultrasound images. This …
multiplicative nature, speckle noise deteriorates the visual quality of ultrasound images. This …
An efficient MRI impulse noise multi-stage hybrid filter based on cartesian genetic programming
WH Huang, P He, ZH Yan, HY Wu - … : Proceedings of the ICNC-FSKD 2021 …, 2022 - Springer
MRI imaging is one of the most widespread techniques in biomedical applications. Impulse
noise is frequently a problem affecting the diagnosis of the disease, and it's a challenging …
noise is frequently a problem affecting the diagnosis of the disease, and it's a challenging …