Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Программирование целевых установок× | Смешанное целочисленное программирование× | |
|---|---|---|
| Область≠ | Принятие решений | Имитационное моделирование |
| Семейство≠ | MCDM | Process / pipeline |
| Год появления≠ | 1955 | 1958–1960 |
| Автор метода≠ | Charnes, A., Cooper, W. W. | Ralph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960) |
| Тип≠ | Multi-objective optimisation — weighted/lexicographic goal deviation minimisation | Mathematical optimization |
| Основополагающий источник≠ | Charnes, A., Cooper, W. W. (1955). Optimal estimation of executive compensation by linear programming. Management Science DOI ↗ | Nemhauser, G. L., Wolsey, L. A. (1988). Integer and Combinatorial Optimization. Wiley-Interscience, New York. ISBN: 9780471359432 |
| Другие названия≠ | — | MIP, Mixed-Integer Linear Programming, MILP, Integer Programming |
| Связанные≠ | 8 | 6 |
| Сводка≠ | GOAL-PROGRAMMING (Goal Programming — Minimise deviations from multiple aspiration levels) is a ranking multi-criteria decision-making (MCDM) method introduced by Charnes, A., Cooper, W. W. in 1955. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | Mixed-Integer Programming (MIP) is a mathematical optimization framework in which some decision variables must take integer values while others may be continuous. It generalizes linear programming and is widely used in operations research, logistics, scheduling, resource allocation, and engineering design, where indivisibility constraints — such as yes/no decisions or whole-unit quantities — arise naturally. |
| ScholarGateНабор данных ↗ |
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