Solver Algorithms Options

Tỉ lệ đổi agent

Specifies the probability for an individual to choose the Differential Evolution strategy.

Assume variables as non negative

Mark to force variables to be positive only.

DE: Xác suất crossover (0-1)

Defines the probability of the individual being combined with the globally best point. If crossover is not used, the point is assembled from the own memory of the individual.

Hệ số tỷ lệ

During crossover, the scaling factor decides about the “speed” of movement.

Quy trình học

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.

PS: Hằng số nhận thức

Sets the importance of the own memory (in particular the best reached point so far).

PS: Hệ số nén

Defines the speed at which the particles/individuals move towards each other.

PS: Mutation Probability

Defines the probability, that instead of moving a component of the particle towards the best point, it randomly chooses a new value from the valid range for that variable.

PS: Hằng số xã hội

Sets the importance of the global best point between all particles/individuals.

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 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

Nếu tắt (mặc định), sẽ dùng trình so sánh BCH. Trình này so sánh giá trị qua sự vi phạm điều kiện và nếu chúng không bằng nhau, nó sẽ tính theo phương án hiện tại.

Nếu bật, sẽ dùng trình so sánh ACR. Nó so sánh hai giá trị phụ thuộc vào vòng lặp hiện tại, đo độ tốt của nó bằng kiến thức về giải pháp kém nhất đã được biết (tương ứng với vi phạm điều kiện của chúng).

Dùng điểm bắt đầu ngẫu nhiên

Nếu bật, thư viện được lấp đầu bằng các điểm ngẫu nhiên đã chọn.

Nếu tắt, giá trị hiện tại (do người dùng chọn) sẽ được nhập vào thư viện làm điểm tham khảo

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.

Assume variables as non negative

Mark to force variables to be positive only.

Quy trình học

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.

Cỡ thư viện

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.

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.

Epsilon level

Epsilon level. Valid values are in range 0 (very tight) to 3 (very loose). Epsilon is the tolerance for rounding values to zero.

Hạn chế độ sâu nhánh-và-chận

Specifies the maximum branch-and-bound depth. A positive value means that the depth is absolute. A negative value means a relative branch-and-bound depth limit.

Solver time limit

Sets the maximum time for the algorithm to converge to a solution.

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.