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| Daudzobjektu dinamiskā programmēšana× | Daudzobjektīvu lineārā programmēšana (MOLP)× | |
|---|---|---|
| Nozare | Simulācija | Simulācija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 1957-1975 | 1955–1986 |
| Autors≠ | Extension of Bellman (1957); formalized by multiple authors from 1970s onward | Steuer, R. E.; Charnes, A.; Cooper, W. W. |
| Tips≠ | Exact optimization — recursive multi-objective decomposition | Mathematical optimization / vector optimization |
| Pirmavots≠ | Bellman, R. (1957). Dynamic Programming. Princeton University Press, Princeton, NJ. ISBN: 9780691079516 | Steuer, R. E. (1986). Multiple Criteria Optimization: Theory, Computation, and Application. John Wiley & Sons, New York. ISBN: 9780471888468 |
| Citi nosaukumi | MODP, Multi-criteria dynamic programming, Vector dynamic programming, Pareto dynamic programming | MOLP, Vector Linear Programming, Multi-criteria LP, Linear Vector Optimization |
| Saistītās≠ | 5 | 3 |
| Kopsavilkums≠ | Multi-Objective Dynamic Programming (MODP) extends Bellman's classical dynamic programming to settings where a decision-maker must optimize several competing objectives simultaneously across a sequence of stages. Rather than a single optimal policy, it produces a Pareto-optimal set of policies — each representing a distinct trade-off profile — by propagating vector-valued value functions backward through the state space. | 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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