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- Lagrangean relaxation is presented as a solution
technique to solve flow constrained area-based harvest
scheduling problems. The best set of multipliers in the
Lagrangean approach is obtained through the subgradient
method. Guidelines to set some parameters to compute the
step size in the subgradient algorithm are provided. An
additional procedure to improve the multipliers obtained
through the subgradient algorithm is provided.
The area-based harvest scheduling problem with adjacency
constraints is approached by reducing the number of these
constraints required to specify the adjacency relations
among harvest units. A heuristic procedure is proposed to
to perform this reduction. Such a procedure is based on
computing one adjacency constraint per harvest unit.
Additional reductions are possible by eliminating the
harvest units whose adjacency relations are described by
surrounding areas.
By using surrogate relaxation the set of adjacency
constraints is reduced to one constraint, Combining
Lagrangean and surrogate relaxation the area-based harvest
scheduling problem with adjacency constraints can be
further reduced, so the relaxed problem becomes easier to
solve than the original problem. The relaxation approach
is used to solve the habitat dispersion problem. Simulated
examples show that simultaneously optimizing flow, wildlife
and adjacency constraints within an area-based approach
will be costlier than previous continuous models have led
us to believe.
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| Digitization Specifications |
- Master files scanned at 600 ppi (256 Grayscale) using Capture Perfect 3.0 on a Canon DR-9080C in TIF format. PDF derivative scanned at 300 ppi (256 B+W), using Capture Perfect 3.0, on a Canon DR-9080C. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
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| Additional Information |
- description.provenance : Submitted by Digital Production (digitalproduc@gmail.com) on 2009-02-04T19:24:34Z
No. of bitstreams: 1
Torres-Rojo_Juan_M_1989.pdf: 1246909 bytes, checksum: 4663b6687d0103d9ef17657e8015b013 (MD5)
- description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2009-02-05T15:46:26Z (GMT) No. of bitstreams: 1
Torres-Rojo_Juan_M_1989.pdf: 1246909 bytes, checksum: 4663b6687d0103d9ef17657e8015b013 (MD5)
- description.provenance : Made available in DSpace on 2009-02-05T15:47:30Z (GMT). No. of bitstreams: 1
Torres-Rojo_Juan_M_1989.pdf: 1246909 bytes, checksum: 4663b6687d0103d9ef17657e8015b013 (MD5)
- description.provenance : Approved for entry into archive by Linda Kathman(linda.kathman@oregonstate.edu) on 2009-02-05T15:47:29Z (GMT) No. of bitstreams: 1
Torres-Rojo_Juan_M_1989.pdf: 1246909 bytes, checksum: 4663b6687d0103d9ef17657e8015b013 (MD5)
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