Genetic algorithms (GAs) are a subset of machine learning and can potentially solve complex biological challenges in agriculture, including crop improvement. These algorithms help simulate the process ...

Inspired by the theory of genetics/evolution, scientists have proposed a large number of computational mechanisms based on genetic/evolutionary operators and random search mechanisms. Recently, there ...

This project demonstrates key concepts in computational biology and optimization, including genetic algorithms, combinatorial optimization, and the application of evolutionary principles to solve ...

A genetic algorithm for phononic crystals Date: July 3, 2024 Source: Institute of Industrial Science, The University of Tokyo Summary: Researchers tested phononic nanomaterials designed with an ...

The researchers tested their Raman2RNA algorithm by tracking mouse embryonic stem cells as they differentiated into different cell types. They took Raman images of the cells four times a day for three ...

Largely unknown just a few decades ago, computational systems biology is now a central methodology for biological and medical research. This amazing ascent raises the question of what the community ...

Cellarity Releases Novel, Open-Source, Single-Cell Dataset and Invites the Machine Learning and Computational Biology Communities to Develop New Algorithms Capable of Learning Fundamental Rules of ...

Discover a generic implementation of a verified heuristic algorithm for optimal sequence tree topology in biology problems. Solve NP-Hard problems efficiently using popular methods like genetic ...

Therefore, the genetic algorithm (Holland, 1992) was inserted into the method because of its capacity to assist in these types of problems, reducing significantly the required computational effort.