Helpo de LibreOfficeDev 25.8
DEPS consists of two independent algorithms: Differential Evolution and Particle Swarm Optimization. Both are especially suited for numerical problems, such as nonlinear optimization, and are complementary to each other in that they even out each other’s shortcomings.
Social Cognitive Optimization takes into account the human behavior of learning and sharing information. Each individual has access to a common library with knowledge shared between all individuals.
| Setting | Description | 
|---|---|
| Assume variables as non negative | Mark to force variables to be positive only. | 
| Learning Cycles | Defines the number of iterations, the algorithm should take. In each iteration, all individuals make a guess on the best solution and share their knowledge. | 
| Show Enhanced Solver Status | If enabled, an additional dialog is shown during the solving process which gives information about the current progress, the level of stagnation, the currently best known solution as well as the possibility, to stop or resume the solver. | 
| Size of Library | Defines the amount of information to store in the public library. Each individual stores knowledge there and asks for information. | 
| Size of Swarm | Defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge. | 
| Stagnation Limit | If this number of individuals found solutions within a close range, the iteration is stopped and the best of these values is chosen as optimal. | 
| Stagnation Tolerance | Defines in what range solutions are considered “similar”. | 
| Use ACR Comparator | |
| Variable Bounds Guessing | If enabled (default), the algorithm tries to find variable bounds by looking at the starting values. | 
| Variable Bounds Threshold | When guessing variable bounds, this threshold specifies, how the initial values are shifted to build the bounds. For an example how these values are calculated, please refer to the Manual in the Wiki. | 
| Setting | Description | 
|---|---|
| Assume variables as integers | Mark to force variables to be integers only. | 
| Assume variables as non negative | Mark to force variables to be positive only. | 
| Solver time limit | Sets the maximum time for the algorithm to converge to a solution. | 
| Swarm algorithm | Set the swarm algorithm. 0 for differential evolution and 1 for particle swarm optimization. Default is 0. |