Evolving Innovative Solutions™ - Since 1993
Natural Selection, Inc. has unique expertise in the application of a diverse range of computational intelligence methods applied to problems in industrial optimization. Using our software tools, we are committed to designing exceptional software that can assist in your industrial optimization needs. Natural Selection, Inc. has experience in the following areas:
Examples of our recent successes:
Natural Selection, Inc. has supported integrated systems that adaptive assign delivery vehicles to specific jobs in order to best meet customer demand. Often, these vehicles have particular components or supplies that are scarce or require specific expertise. In this case, it becomes important to combine scheduling vehicles with personnel. Natural Selection, Inc.'s efforts have included refueling gas stations, and coordinating the activities of multiple deliveries of different goods and services simultaneously. Natural Selection, Inc. has also helped improve scheduling in complex industrial settings, including those found in clothing, manufacturing, and supply chain optimization.
Natural Selection, Inc., in support of CalTrans and the Institute of Transportation Studies at the University of California at Irvine, has used evolutionary computation to model optimal ramp metering for freeways in the Southern California region. Using high-fidelity simulations, for example of the 55 freeway, that incorporate the sensor information that is gathered in real time, Natural Selection, Inc.'s software was able to rapidly adapt to incidents as they occurred.
Natural Selection, Inc. has supported multimillion-dollar organizations in pricing their products more effectively. Using historical and projected pricing data, Natural Selection, Inc. successfully applied computational intelligence tools to make more accurate forecasts about product demand.
In support of the Federal Aviation Administration, Natural Selection, Inc. helped develop computational intelligence algorithms to better detect unwanted intrusions in the FAA's internet and intranet systems. These algorithms worked by detecting anomalous behavior, without relying on predefined examples of potential threats.
Under funding from DARPA, Natural Selection, Inc. used a combination of evolutionary computation and nonlinear modeling to provide situation awareness in settings for the U.S. Marine Corps. Natural Selection, Inc.'s approach was able to aggregate the information in multiple seismic sensors in order to gain insight into what types of objects or numbers of people were traversing a designated area.
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