Search Results for author: Mee Seong Im

Found 4 papers, 0 papers with code

Genetic optimization algorithms applied toward mission computability models

no code implementations27 May 2020 Mee Seong Im, Venkat R. Dasari

Genetic algorithms are modeled after the biological evolutionary processes that use natural selection to select the best species to survive.

Solving machine learning optimization problems using quantum computers

no code implementations17 Nov 2019 Venkat R. Dasari, Mee Seong Im, Lubjana Beshaj

We describe a generic mathematical model to leverage quantum parallelism to speed-up machine learning algorithms.

Quantum Machine Learning

Optimization problems with low SWaP tactical Computing

no code implementations13 Feb 2019 Mee Seong Im, Venkat R. Dasari, Lubjana Beshaj, Dale Shires

In a resource-constrained, contested environment, computing resources need to be aware of possible size, weight, and power (SWaP) restrictions.

Decision Making

Complexity and mission computability of adaptive computing systems

no code implementations29 Aug 2018 Venkat R. Dasari, Mee Seong Im, Billy Geerhart

There is a subset of computational problems that are computable in polynomial time for which an existing algorithm may not complete due to a lack of high performance technology on a mission field.

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