Сравнение на методи
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| Многокритериално целево програмиране× | Многокритериално линейно програмиране (МКЛП)× | |
|---|---|---|
| Област | Симулационно моделиране | Симулационно моделиране |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1961 | 1955–1986 |
| Създател≠ | Charnes, A. and Cooper, W. W. | Steuer, R. E.; Charnes, A.; Cooper, W. W. |
| Тип≠ | Mathematical programming / multi-criteria optimization | Mathematical optimization / vector optimization |
| Основополагащ източник≠ | Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. ISBN: 978-0471148258 | Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. John Wiley & Sons, New York. ISBN: 9780471888468 |
| Други названия | MOGP, Multi-goal programming, Vector goal programming, Multi-criteria goal programming | MOLP, Vector Linear Programming, Multi-criteria LP, Linear Vector Optimization |
| Свързани≠ | 4 | 3 |
| Резюме≠ | Multi-Objective Goal Programming (MOGP) is a mathematical programming technique that simultaneously pursues several aspirational targets by minimizing weighted deviations from each goal. Rooted in Charnes and Cooper's original goal programming framework (1961), MOGP extends it to handle multiple competing objectives, making it indispensable in operations research, supply chain design, resource allocation, and policy analysis where decision-makers must satisfy — or come close to — multiple conflicting requirements at once. | Multi-Objective Linear Programming (MOLP) extends classical linear programming to handle several conflicting linear objective functions simultaneously over a feasible region defined by linear constraints. Instead of a single optimal solution, MOLP produces a Pareto-efficient frontier from which a decision-maker selects a preferred trade-off. It is foundational to operations research and management science for resource allocation, planning, and design problems with competing goals. |
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