Review of deep learning algorithms and architectures

A Shrestha, A Mahmood - IEEE access, 2019 - ieeexplore.ieee.org
Deep learning (DL) is playing an increasingly important role in our lives. It has already made
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …

[HTML][HTML] Choosing mutation and crossover ratios for genetic algorithms—a review with a new dynamic approach

A Hassanat, K Almohammadi, E Alkafaween… - Information, 2019 - mdpi.com
Genetic algorithm (GA) is an artificial intelligence search method that uses the process of
evolution and natural selection theory and is under the umbrella of evolutionary computing …

Accelerating AutoDock4 with GPUs and Gradient-Based Local Search

D Santos-Martins, L Solis-Vasquez… - Journal of chemical …, 2021 - ACS Publications
AutoDock4 is a widely used program for docking small molecules to macromolecular targets.
It describes ligand–receptor interactions using a physics-inspired scoring function that has …

Pesticide spraying robot for precision agriculture: A categorical literature review and future trends

AT Meshram, AV Vanalkar, KB Kalambe… - Journal of Field …, 2022 - Wiley Online Library
Pesticide spraying is one of the risky and very essential task in agriculture to protect plants
from harmful organisms. Many farmers are used manual pesticide spraying devices that they …

Comparative review of selection techniques in genetic algorithm

A Shukla, HM Pandey… - … international conference on …, 2015 - ieeexplore.ieee.org
This paper compares various selection techniques used in Genetic Algorithm. Genetic
algorithms are optimization search algorithms that maximize or minimizes given functions …

Roulette-wheel selection via stochastic acceptance

A Lipowski, D Lipowska - Physica A: Statistical Mechanics and its …, 2012 - Elsevier
Roulette-wheel selection is a frequently used method in genetic and evolutionary algorithms
or in modeling of complex networks. Existing routines select one of N individuals using …

[PDF][PDF] A study on genetic algorithm and its applications

L Haldurai, T Madhubala, R Rajalakshmi - Int. J. Comput. Sci. Eng, 2016 - academia.edu
In order to obtain best solutions, we need a measure for differentiating best solutions from
worst solutions. The measure could be an objective one that is a statistical model or a …

[HTML][HTML] Data science applications to string theory

F Ruehle - Physics Reports, 2020 - Elsevier
We first introduce various algorithms and techniques for machine learning and data science.
While there is a strong focus on neural network applications in unsupervised, supervised …

Modeling slump of ready mix concrete using genetic algorithms assisted training of Artificial Neural Networks

V Chandwani, V Agrawal, R Nagar - Expert Systems with Applications, 2015 - Elsevier
The paper explores the usefulness of hybridizing two distinct nature inspired computational
intelligence techniques viz., Artificial Neural Networks (ANN) and Genetic Algorithms (GA) …

[HTML][HTML] Best Fit DNA-Based Cryptographic Keys: The Genetic Algorithm Approach

P Mukherjee, H Garg, C Pradhan, S Ghosh… - Sensors, 2022 - mdpi.com
DNA (Deoxyribonucleic Acid) Cryptography has revolutionized information security by
combining rigorous biological and mathematical concepts to encode original information in …