You are here

Environmentally Constrained Naval Search Planning Algorithms

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N65538-10-C-0013
Agency Tracking Number: N101-048-0110
Amount: $79,986.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N101-048
Solicitation Number: 2010.1
Timeline
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-07-09
Award End Date (Contract End Date): 2011-01-09
Small Business Information
5885 Trinity Parkway Suite 230
Centreville, VA 20120
United States
DUNS: 135121148
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jim Farrell
 Principal Investigator
 (703) 968-8040
 jfarrell@adaptivemethods.com
Business Contact
 Judy Barhorst
Title: Director of Contracts
Phone: (703) 968-8040
Email: 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. *

US Flag An Official Website of the United States Government