SBIR/STTR Research Award

Operational Defense Effectiveness Assessments for Missile Raid Scenarios

Award identifier 870c24717798c444da9c1790af90a156e4c5c1aef2d3c2bd5b7693c0eb88d70fAwarding agency Department of Defense · Missile Defense Agency

Award amount

$1,499,705

Program and phase

SBIR · Phase II

Award year

2023

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Award details

Awarding agency
Department of Defense
Branch
Missile Defense Agency
Recipient company
OPTIMIZATION TECHNOLOGIES, INC.
Proposal award date
2023-02-08
Contract end date
2025-02-07
UEI
E7MNGQ56KYB7
Solicitation number
21.2
Topic code
MDA21-008

Research abstract

OptTek will apply our novel mapping, adaptive sampling, and optimization capabilities to help MDA better understand the operational effectiveness of the MDS under multi-threat missile raids. While digital simulations provide faster feedback on missile defense performance than a ground test, the computational costs are still too high to handle the combinatorial explosion of parameter combinations and resultant simulations that are needed to study a raid through enumerating possibilities. Knowing the defense landscape more fully will allow leadership to assess potential concerns in the system and what new technology needs there are in both hardware, software, and tacticsOptTek’s proven approach to the optimization of complex systems, which includes advanced artificial intelligence and machine learning (AI/ML) techniques like metaheuristics, mathematical programming, neural networks, and novel spatial correlated interpolation algorithms, will help an analyst understand the design space of parameters associated with the MDS for defense against multi-threat missile raid scenarios. We will leverage our novel data fusion techniques to combine results from medium-fidelity digital simulations such as AFSIM to help guide the analyst to make efficient use of high-fidelity simulations for systems like EDISS/EDP. By sampling the study space efficiently, reporting meaningful metrics to the analyst, and accurately mapping the results of the simulations, we will extract more useful information from many, many fewer simulation runs than a manual analysis of the space would allow. Approved for Public Release | 22-MDA-11340 (16 Dec 22)

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

39 SBIR/STTR records share this UEI (2003–2025). Reported award amounts total $27,442,303. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Science Foundation, Department of Health and Human Services

Agency intelligence

Department of Defense

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