A Generalized Set-Covering Method for Surveillance Maintenance
Abstract
This research has developed a solution procedure for a practical, new combinatorial optimization problem. The solution procedure also represents a new approach to combinatorial problems. This problem is a model for certain surveillance maintenance problems, and has not previously appeared in the literature of optimization or industrial engineering. A heuristic procedure for the generalized set-covering problem is described. Computational experiments are presented and a computer code (in Microsoft C) for the procedure is given. This heuristic procedure represents a new approach to discrete optimization -- a nonlinear programming approach. This approach should be very useful in 'solving' a host of NP-complete problems with nonlinear objective functions. To make the results of this research address real world, certain extensions are suggested.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1991
- Accession Number
- ADA236855
Entities
People
- Lester Frair
- Samuel Awoniyi