A variety of different multi-agent (competitive) network models have been described in the literature. Computational techniques for solving such models often involve the iterative...
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...
architectures at multiple levels of abstraction, encompassing both hardware and software. It has five modes of operation (Design, Model Validation, Build Simulation, Simulate Syste...
Paul S. Coe, Fred W. Howell, Roland N. Ibbett, Lau...
—Grid applications need to move large amounts of data between distributed resources within deterministic time frames. In most cases it is possible to specify the volume and the d...
Kashif Munir, Pascale Vicat-Blanc Primet, Michael ...
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...