Using Neural Networks in Agent Teams to Speed Up Solution Discovery for Hard Multi-Criteria Problems

Shaun Gittens, University of Maryland; Richard Goodwin, Jayant Kalagnanam, and Sesh Murthy, IBM T.J. Watson Research Center

The framework we use, called the Asynchronous Team (A-Team) architecture, deploys teams of optimizing agents to evolve population(s) of candidate solutions to instances of hard MC problems in order to develop very good solutions. In this framework, agents embody specific heuristics geared to create, modify, or destroy any of a number of possible solutions to a problem instance.

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