Resolving the multiple sequence alignment problem using biogeography-based optimization with multiple populations. - El-Amine Zemali; Abdelmadjid Boukra (J. Bioinform. Comput. Biol., 2015)

A new hybrid bio-inspired approach to resolve the multiple sequence alignment problem. - El-Amine Zemali; Abdelmadjid Boukra (CoDIT, 2016)

Using a Bio-Inspired Algorithm to Resolve the Multiple Sequence Alignment Problem. - El-Amine Zemali; Abdelmadjid Boukra (Int. J. Appl. Metaheuristic Comput., 2016)

CS-ABC: a cooperative system based on artificial bee colony to resolve the DNA fragment assembly problem. - El-Amine Zemali; Abdelmadjid Boukra (Int. J. Data Min. Bioinform., 2018)

EGSA: a new enhanced gravitational search algorithm to resolve multiple sequence alignment problem. - El-Amine Zemali; Abdelmadjid Boukra (Int. J. Intell. Eng. Informatics, 2018)

Parallel multiple DNA sequence alignment using genetic algorithm and asynchronous advantage actor critic model. - Khadidja Belattar; El-Amine Zemali; Sabrina Baouni; Souhila Dehni (Int. J. Bioinform. Res. Appl., 2022)