A novel cultural algorithm for real-parameter optimization.

The intellects-masses optimizer (IMO) is a new variant of cultural algorithm, which is used to solve continuous numerical optimization problems. The proposed method divides its population into two sub-populations, one that contains the fittest individuals (called theintellects) and the other sub-population, which includes the rest of the individuals in the population (called themasses). The two sub-populations evolve in parallel and influence each other. IMO is a simple, easy to code approach that has few, easy to tune parameters. The performance of IMO is investigated on 25 problems; five of them are real-world engineering problems and six high-dimensional problems. IMO is compared with 6 otherstate-of-the-artswarm intelligence approaches on the 25 problems. The results show that IMO generally outperforms the other approaches. [ABSTRACT FROM AUTHOR]