A Bee Swarm Genetic Algorithm for the Optimization of DNA Encoding

Bee Swarm Genetic Algorithm (BSGA), a new efficient algorithm is developed for designing DNA sequences that satisfy some combinatorial and thermodynamic constraints. In BSGA, the optimum individual of population selected as a queen bee and a random population is introduced to reinforce the exploitation of Genetic Algorithm (GA) and increase the diversity of population. Based on the algorithm, a computer simulation for DNA encoding is conducted and the sequences are better than the previous known systems that can prove the efficiency and convergence of our algorithm.