moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.

Understanding the material basis of adaptive evolution has been a central goal in biology dating back to at least the time of Darwin. One focus of current debates is whether adaptive evolution ...

It utilizes advanced adaptive algorithms, aiming to redefine mathematics instruction and impact students, teachers, and parents.

Abstract: Rule-based machine learning (RBML) models are often presumed to be very beneficial for tasks where explainabil-ity of machine learning models is considered essential. However, their models ...

An adaptive optimization approach for the design of multi-false target suppression jamming waveforms based on genetic algorithms and phase modulation is proposed in this study. The aim is to achieve ...

An Adaptive Genetic Algorithm for N-Queens problem I implemented a genetic algorithm for the N-Queens problem with several improvements. This implementation can be a reference point for further ...

Relevant experimental results show that the proposed adaptive genetic algorithm based on individual similarity is feasible and effective in flexible job-shop scheduling.

Add a description, image, and links to the adaptive-genetic-algorithms topic page so that developers can more easily learn about it ...

This article presents an improved adaptive technology termed as the distant relative genetic algorithm (DRGA), in which the distant relative pointer and immunity operators can effectively improve the ...

Researchers have created a new algorithm capable tracking down beneficial genetic mutations.