In the perspective of making the simulated breeding campaign more conform to real applications, we want the number of individuals and the selection intensity to vary during the campaign. To achieve this, we want to introduce a slope parameter for each which will dictate the linear decrease (or increase) rate. Those parameter will be optimized during the Bayesian optimization.
In the perspective of making the simulated breeding campaign more conform to real applications, we want the number of individuals and the selection intensity to vary during the campaign. To achieve this, we want to introduce a slope parameter for each which will dictate the linear decrease (or increase) rate. Those parameter will be optimized during the Bayesian optimization.