We present a two-phase genetic local search algorithm that combines the genetic algorithm and the local search method to solve this problem. The first phase aims to search globally for promising areas ...

The algorithm's efficient polynomial complexity allows it to scale with system size, which is essential as quantum computers become more powerful.

To overcome these challenges, we have developed the Molecular multiobjective optimization of Monte Carlo Tree Search (MCTS) and Non-Superiority Ranking Genetic Algorithm II (NSGA-II)-MNopt, which ...

Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...

This research roundup explores the role of sugar molecules in brain degeneration, a machine learning algorithm to detect diseases and a generative AI tool that can generate original genetic code.

Genetic algorithms evaluate potential solutions by evolving them over many generations and keeping the ones which work best each time.

CAMD often generates and evaluates molecular structures using genetic algorithms. However, genetic algorithms can suffer from slow convergence, and might yield suboptimal solutions. In response to ...

Beamforming Algorithms for Underater Acoustical 3D imaging. Repository to share scripts and functions for underwater 3D acoustical imaging using delay and sum beamforming (DAS) in time domain, ...