Environmentally Constrained Naval Search Planning Algorithms

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$1,623,945.00
Award Year:
2011
Program:
SBIR
Phase:
Phase II
Contract:
N00024-11-C-4165
Award Id:
n/a
Agency Tracking Number:
N101-048-0110
Solicitation Year:
2010
Solicitation Topic Code:
N101-048
Solicitation Number:
2010.1
Small Business Information
5860 Trinity Parkway, Suite 200, Centreville, VA, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
135121148
Principal Investigator:
Lewis Hart
Principal Investigator
(703) 968-8040
lhart@adaptivemethods.com
Business Contact:
Judy Barhorst
Director of Contracts
(703) 968-8040
jbarhorst@adaptivemethods.com
Research Institution:
Stub




Abstract
Our Context-Aware Multiple Objective Planning (CMOP) is focused on the expansion and refinement of the mission planning capability in order to more fully support the capabilities required by Under Sea Warfare Decision Support System (USW-DSS). This includes expanding the spatial-temporal and semantic reasoning capability to dynamically determine objective function relevance to the current mission context, operational constraints and environmental impact; maximizing operationally utility by applying description length penalized multi-objective optimization to find solutions satisfying multiple objectives while keeping the solutions as simple as possible, and enhancing interactive visualization to allow planners to modify, explore and evaluate alternatives thereby providing an unprecedented level of insight and control over the optimization process. This capability will allow new operational constrains, such as Marine Mammal Protection Zones, and a variety of mission types to be effectively incorporated in to the ASW mission planning function of USW/DSS. This capability can be generalized to support mission planning in a wide range of other DOD planning activities, as well as national and commercial operations planning applications.

* information listed above is at the time of submission.

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