Dynamic optimization algorithms for radar resource management

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Authors
  1. Gosselin, A.
  2. Wang, Y.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN);Royal Military Coll of Canada, Kingston ONT (CAN) Dept of Mathematics and Computer Science
Abstract
Typically, the scheduling of multi-function radars is based on the optimization of some predefined aggregate function made of all attributes of interest. By selecting a specific aggregate function these methods force the generation of a specific solution without the full awareness of the possible solution space. By introducing methods of Multicriteria Optimization [2] the proposed scheduling algorithms allow for the determination of the set of all non-dominated solutions with its associated efficient set in decision space: the space of all possible schedules. The determination of efficient sets will generate a better understanding of the solution space and could lead to a better selection of the particular schedule to be implemented in addition to allowing for the development of more efficient scheduling algorithms. This report presents a simple two-criterion scheduling model based on Multicriteria Optimization.

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Report Number
DRDC-OTTAWA-CR-2010-232 — Contractor Report
Date of publication
01 Dec 2010
Number of Pages
58
DSTKIM No
CA034942
CANDIS No
534470
Format(s):
Electronic Document(PDF)

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