方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 双层优化（领导者-跟随者）× | 整数规划× | |
|---|---|---|
| 领域 | 优化 | 优化 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1998 | 1958 |
| 提出者≠ | Jonathan Bard | Ralph Gomory (cutting planes, 1958); land-and-doig branch-and-bound (1960) |
| 类型≠ | Hierarchical mathematical programming | Mathematical optimisation — exact combinatorial method |
| 开创性文献≠ | Bard, J. F. (1998). Practical Bilevel Optimization: Algorithms and Applications. Kluwer Academic Publishers. ISBN: 978-0-7923-5458-7 | Wolsey, L.A. (1998). Integer Programming. Wiley. ISBN: 9780471283669 |
| 别名≠ | Stackelberg Optimization, Hierarchical Programming, Nested Optimization, İki Düzeyli Optimizasyon | IP, MIP, mixed-integer programming, mixed-integer linear programming |
| 相关≠ | 3 | 4 |
| 摘要≠ | Bilevel optimization is a class of mathematical programming problems in which one optimization problem is nested inside another. The upper-level (leader) problem optimizes its objective subject to constraints that include the solution of a lower-level (follower) problem. Formalized comprehensively by Jonathan Bard in 1998, the framework models hierarchical decision-making where the leader anticipates and accounts for the rational response of the follower. | Integer programming (IP), also called mixed-integer programming (MIP) when only some variables are restricted to whole numbers, is a branch of mathematical optimisation in which some or all decision variables must take integer or binary values. Building on linear programming, it was formalised through Ralph Gomory's cutting-plane method (1958) and the Land-and-Doig branch-and-bound algorithm (1960), and it has since become the standard exact framework for scheduling, assignment, routing, and resource-allocation problems. |
| ScholarGate数据集 ↗ |
|
|