NC-LAB Profile

The NC-LAB resides in the Department of Computer Science at Missouri University of Science and Technology (Missouri S&T), formerly University of Missouri-Rolla (UMR). Since its founding in 2002, the NC-LAB has concentrated on Evolutionary Computing (EC), focusing on two main areas, namely (1) the development of novel types of Evolutionary Algorithms (EAs), and (2) the application of EAs to real-world problems. The bulk of the NC-LAB funding has come from the U.S. Department of Energy via Sandia National Laboratories and the University of Missouri Research Board.

The Evolutionary Freedom (EvoFree) Group The goal of this research group is to develop novel types of self-adaptive parameterless evolutionary algorithms (EAs) which are both easier to use and more powerful than the current state-of-the-art. This group is currently working on two projects, namely Autonomous EAs and Parameterless EAs with the eventual goal of creating an EA which is fully autonomous as well as parameterless.
The Inverse Diffusion Analysis (IDA) Group The goal of this research group is to develop a general computational approach employing Genetic Programming to determine the general inverse diffusion equation for the purpose of determining historic gas exposures.
The Coevolutionary Automated Software Correction (CASC) Group The goal of this research group is to simultaneously correct software artifacts and identify test cases through the application of coevolutionary armsraces.
The Critical Infrastructure (CIP) Group The goal of this research group is to solve a variety of complex CIP problems, typically employing evolutionary computing approaches such as coevolutionary armsraces.
The Multi-Objective Evolutionary Algorithm (MOEA) Group: This group is developing Stored Non-Domination Level Multi-Objective EA (SNDL-MOEA), combining the best of NSGA-II and epsilon-MOEA, the gold standards in MOEAs.