Towards development of a hybrid discrete graph-based ant colony optimization algorithm with an antibody-based immune programming algorithm

An attempt is made to improve swarm-based optimization algorithms (SBOA) through an investigation and development in C of the following: i) Random Algorithm, ii) Immune Programming Algorithm (IP), iii) Ant Colony Optimization Algorithm (ACO), and iv) Hybridized ACO and IP. Preliminary experiments are performed and reported for both integer (Z) stack-based and real (R) model-based problem representations.Nous tentons ici d'am\ue9liorer les algorithmes d'optimisation par essaims (SBOA pour swarm based optimization algorithms) en \ue9tudiant et en d\ue9veloppant en C ce qui suit : i) un algorithme al\ue9atoire; ii) un algorithme de programmation immune (IP); iii) un algorithme d'optimisation par colonie de fourmis (ACO pour Ant Colony Optimization Algorithm) ; et iv) un algorithme hybride ACO IP. Des exp\ue9riences pr\ue9liminaires sont effectu\ue9es et leurs r\ue9sultats sont pr\ue9sent\ue9s pour des repr\ue9sentations du probl\ue8me pour des mod\ue8les entiers (Z) et r\ue9els (R).Peer reviewed: NoNRC publication: Ye