Neal Wagner, Ph.D.
Operations Research Scientist
Modeling and Analysis Innovation Center
MITRE
Bedford, MA 01730 USA

Email: nwagner[at]mitre[dot]org
neal[dot]f[dot]wagner[at]gmail[dot]com

Research Interests:

Intelligent Decision Systems, Non-linear Optimization, Evolutionary Algorithms, Complex Systems Modeling and Simulation, Security and Cyber Security, Computational Forecasting, Supply Chain Optimization

Evolutionary algorithms (EA) use Darwin’s Theory of Evolution (“survival of the fittest”) as a model for creating programs that can “evolve” solutions to a given problem. Often they are used for difficult real-world problems where the number of potential solutions is too large for standard (deterministic) techniques. EA encompasses several evolution-based methods including genetic algorithms, genetic programming, evolutionary programming, etc. For more information on EA, check the following website.

Vita:

My dissertation work was done under the supervision of Dr. Zbigniew Michalewicz, a pioneer in the field of EA. The research included the development of an adaptive method based on genetic programming for forecasting time series produced by dynamically-changing environments.
Here is my CV. Here is my profile on google scholar.

Here is my family.