Hello,

I find this project very interesting. I have several works on bio-inspired algorithms. In my recent article (https://www.researchgate.net/publication/333653452_Towards_compact_swarm_intelligence_a_new_compact_firefly_optimisation_technique), I developed an approach that allows to design algorithms of compact swarm intelligence. The goal is to reduce the complexity of algorithms inspired by swarms like fireflies (https://www.researchgate.net/publication/321861474_A_set_of_new_compact_firefly_algorithms), this same approach could be generalized to any other algorithms inspired by nature, applied to the HSA (https://www.researchgate.net/publication/321819106_New_compact_music-inspired_algorithms),toGSA (https://www.researchgate.net/publication/340566138_Elitism-Based_Campact_Gravitational_Algorithms_Amelioration_de_la_recherche_gravitationnelle_compacte_par_des_strategies_d'elitisme), and to CSOA (https: / /www.researchgate.net/publication/340566018_Reduction_of_the_computational_capacities_required_by_bio-inspired_algorithms) and it gives very good results. I think that this is a good way to improve nature-inspired algorithms.

What do you think ?

Thank you

Lyes TIGHZERT