Evolving Innovative Solutions™ - Since 1993
Natural Selection, Inc. has extensive experience in the application of computational intelligence to problems in national security and defense, supporting clients in the government, military, and the private sector.
Natural Selection, Inc's patent-pending advanced pattern recognition and self-learning data mining techniques using evolutionary computation have been applied to detect threats in computer networks, seaborne commerce, port security, and other areas, resulting in improved screening. Our recent work with the U.S. Food and Drug Administration (FDA) on the Predictive Risk-Based Evaluation for Dynamic Import Compliance Targeting (PREDICT) tool for targeting of imported products for examination led to a 2010 FDA Honor Award. PREDICT reduces the risk of potentially unsafe products entering the commercial sector, and expedites the entry rate for those products that are in compliance with FDA regulations. Increasing the efficiency and efficacy of FDA inspectors.
Using our proprietary software tools and the Valuated State Space® approach, Natural Selection, Inc. can translate intent and purpose into quantifiable expressions. This technique, when coupled with evolutionary computation, can help forecast threats and suggest appropriate courses of action.
Natural Selection, Inc. has applied evolutionary computation to the development of complex, robust, mathematical algorithms enabling the detection and classification of a range of threats using sensor arrays.
Using our state-of-the-art evolutionary planning algorithms, Natural Selection, Inc. has proven advanced technologies in dynamic situation assessment and prediction. We have developed advanced autonomous capabilities for UAV mission and strike planning.
Perimeter security and defense communities experience unique challenges, but Natural Selection's advanced technologies, developed by key personnel who have decades of experience within these communities, have successfully solved and are solving many difficult problems.
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