Top five most promising algorithms in scheduling. - Andrei Lihu; Stefan Holban (SACI, 2009)

Real-Valued Genetic Algorithms with Disagreements. - Andrei Lihu; Stefan Holban (NICSO, 2011)

A study on the minimal number of particles for a simplified particle swarm optimization algorithm. - Andrei Lihu; Stefan Holban (SACI, 2011)

Particle Swarm Optimization with Disagreements. - Andrei Lihu; Stefan Holban (ICSI (1), 2011)

Real-valued genetic algorithms with disagreements. - Andrei Lihu; Stefan Holban; Oana-Andreea Popescu (Memetic Comput., 2012)

Particle Swarm Optimization with Disagreements on Stagnation. - Andrei Lihu; Stefan Holban; Oana-Andreea Lihu (Trans. Comput. Collect. Intell., 2013)

The influence of the background model on DNA motif prediction: An assessment for zinc finger transcription factor ZFX. - Andrei Lihu; Stefan Holban (SACI, 2015)

De novo Motif Prediction using the Fireworks Algorithm. - Andrei Lihu; Stefan Holban (Int. J. Swarm Intell. Res., 2015)

A review of ensemble methods for de novo motif discovery in ChIP-Seq data. - Andrei Lihu; Stefan Holban (Briefings Bioinform., 2016)

A Proof of Useful Work for Artificial Intelligence on the Blockchain. - Andrei Lihu; Jincheng Du; Igor Barjaktarevic; Patrick Gerzanics; Mark Harvilla (CoRR, 2020)

Fractional dynamics foster deep learning of COPD stage prediction. - Chenzhong Yin; Mihai Udrescu; Gaurav Gupta; Mingxi Cheng; Andrei Lihu; Lucretia Udrescu; Paul Bogdan; David M. Mannino; Stefan Mihaicuta (CoRR, 2023)