2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011
Page 1. Automatically Exploring How Uncertainty Impacts Behavior of Dynamically Adaptive Systems ... more Page 1. Automatically Exploring How Uncertainty Impacts Behavior of Dynamically Adaptive Systems Andres J. Ramirez, Adam C. Jensen, Betty HC Cheng, and David B. Knoester Department of Computer Science and Engineering ...
2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems, 2011
This paper describes a study in the use of neuroevolution to discover controllers for a simulated... more This paper describes a study in the use of neuroevolution to discover controllers for a simulated mobile ad hoc network. Neuroevolution is a technique whereby an evolutionary algorithm is used to produce arti- ficial neural networks that solve a user-defined task. Here, we use neuroevolution to study a generic coverage-based problem, where agents in the network are to maximize the
2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011), 2011
Page 1. Automatically Exploring How Uncertainty Impacts Behavior of Dynamically Adaptive Systems ... more Page 1. Automatically Exploring How Uncertainty Impacts Behavior of Dynamically Adaptive Systems Andres J. Ramirez, Adam C. Jensen, Betty HC Cheng, and David B. Knoester Department of Computer Science and Engineering ...
2011 IEEE Fifth International Conference on Self-Adaptive and Self-Organizing Systems, 2011
This paper describes a study in the use of neuroevolution to discover controllers for a simulated... more This paper describes a study in the use of neuroevolution to discover controllers for a simulated mobile ad hoc network. Neuroevolution is a technique whereby an evolutionary algorithm is used to produce arti- ficial neural networks that solve a user-defined task. Here, we use neuroevolution to study a generic coverage-based problem, where agents in the network are to maximize the
Uploads
Papers by David Knoester