A hybrid general framework of cuckoo, immune and genetic search algorithms
Faisal Qaseem Alkhateeb, Ra’ed M. Al-Khatib · 2019
Several well-known population-based algorithms have been proposed in the literature and demonstrated its effectiveness. In this paper, we propose a hybrid general framework that uses Cuckoo, Immune and Genetic search operators to iteratively evolve its current population. Then, the proportionate selection mechanism is used to select from the produced populations based on their fitness values.