An important form of prior information in clustering comes in form of cannot-link and must-link constraints. We present a generalization of the popular spectral clustering techniq...
Abstract— We recast the problem of unconstrained continuous evolutionary optimization as inference in a fixed graphical model. This approach allows us to address several pervasi...
Christopher K. Monson, Kevin D. Seppi, James L. Ca...
We propose solving continuous parametric simulation optimizations using a deterministic nonlinear optimization algorithm and sample-path simulations. The optimization problem is w...
Michael C. Ferris, Todd S. Munson, Krung Sinapirom...
We have considered a problem of continuous piecewise linear approximation of the digital curves with a minimum number of the line segments. Fast suboptimal algorithm for constrain...
Abstract—Online optimization allows the continuous restructuring and adaptation of an executing application using live information about its execution environment. The further ad...