Лабораторная работа №3 Решение однокритериальных задач принятия решений методами линейного программирования Общие сведения
жүктеу/скачать 1,31 Mb.
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Лабораторная работа №3
Результаты:
Пример: ## Simple linear program. ## maximize: 2 x_1 + 4 x_2 + 3 x_3 ## subject to: 3 x_1 + 4 x_2 + 2 x_3 <= 60 ## 2 x_1 + x_2 + 2 x_3 <= 40 ## x_1 + 3 x_2 + 2 x_3 <= 80 ## x_1, x_2, x_3 are non-negative real numbers obj <- c(2, 4, 3) mat <- matrix(c(3, 2, 1, 4, 1, 3, 2, 2, 2), nrow = 3) dir <- c("<=", "<=", "<=") rhs <- c(60, 40, 80) max <- TRUE Rglpk_solve_LP(obj, mat, dir, rhs, max = max) ## Simple mixed integer linear program. ## maximize: 3 x_1 + 1 x_2 + 3 x_3 ## subject to: -1 x_1 + 2 x_2 + x_3 <= 4 ## 4 x_2 - 3 x_3 <= 2 ## x_1 - 3 x_2 + 2 x_3 <= 3 ## x_1, x_3 are non-negative integers ## x_2 is a non-negative real number obj <- c(3, 1, 3) mat <- matrix(c(-1, 0, 1, 2, 4, -3, 1, -3, 2), nrow = 3) dir <- c("<=", "<=", "<=") rhs <- c(4, 2, 3) types <- c("I", "C", "I") max <- TRUE Rglpk_solve_LP(obj, mat, dir, rhs, types = types, max = max) ## Same as before but with bounds replaced by ## -Inf < x_1 <= 4 ## 0 <= x_2 <= 100 ## 2 <= x_3 < Inf bounds <- list(lower = list(ind = c(1L, 3L), val = c(-Inf, 2)), upper = list(ind = c(1L, 2L), val = c(4, 100))) Rglpk_solve_LP(obj, mat, dir, rhs, bounds, types, max) жүктеу/скачать 1,31 Mb. Достарыңызбен бөлісу:
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