Environmentally Constrained Naval Search Planning Algorithms

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$79,986.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
N65538-10-C-0013
Award Id:
98426
Agency Tracking Number:
N101-048-0110
Solicitation Year:
n/a
Solicitation Topic Code:
NAVY 10-048
Solicitation Number:
n/a
Small Business Information
5885 Trinity Parkway, Suite 230, Centreville, VA, 20120
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
135121148
Principal Investigator:
Jim Farrell
Principal Investigator
(703) 968-8040
jfarrell@adaptivemethods.com
Business Contact:
Judy Barhorst
Director of Contracts
(703) 968-8040
jbarhorst@adaptivemethods.com
Research Institution:
n/a
Abstract
The current ASW route planning and asset allocation algorithms suffer from several major shortcomings. First, the current capability provides solutions that are often counterintuitive and have little tactical utility. Second, the operator has virtually no insight or control over the solutions. Third, the current capability emphasizes an overt and offensive ASW posture when developing solutions. Combined, these shortcomings mean that operators are presented with a solution, have no understanding of why it is effective, cannot impact the solution with knowledge and constraints that only the operator knows, and must ultimately make an "all or nothing" decision to follow the generated plan. As a result, the current capability is effectively a black box solution that is effective for a very small set of problems and does not allow the operator to explore and analyze the search space. The existing Navy Mission Planning capability focuses on "overt search" by optimizing a single objective function called the Cumulative Probability of Detection. The proposed solution, Context-Aware Multiple Objective Planning (CMOP), expands its applicability by considering multiple objective optimization where the objective functions are selected based on mission context.

* information listed above is at the time of submission.

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