Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Programarea obiectivelor× | Programare liniară mixtă cu variabile întregi× | |
|---|---|---|
| Domeniu≠ | Luarea deciziilor | Simulare |
| Familie≠ | MCDM | Process / pipeline |
| Anul apariției≠ | 1955 | 1958–1960 |
| Autorul original≠ | Charnes, A., Cooper, W. W. | Ralph Gomory (branch-and-bound cuts, 1958); Land & Doig (branch-and-bound, 1960) |
| Tip≠ | Multi-objective optimisation — weighted/lexicographic goal deviation minimisation | Mathematical optimization |
| Sursa seminală≠ | 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 |
| Denumiri alternative≠ | — | MIP, Mixed-Integer Linear Programming, MILP, Integer Programming |
| Înrudite≠ | 8 | 6 |
| Rezumat≠ | 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. |
| ScholarGateSet de date ↗ |
|
|