Planning agents often lack the computational resources needed to build full planning trees for their environments. Agent designers commonly overcome this finite-horizon approxima...
Jonathan Sorg, Satinder P. Singh, Richard L. Lewis
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
- This paper presents a methodology for concurrently optimizing an IC fabrication process and a standard cell library in order to maximize overall yield. The approach uses the Conc...
Arun N. Lokanathan, Jay B. Brockman, John E. Renau...
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Abstract--We establish that the min-sum messagepassing algorithm and its asynchronous variants converge for a large class of unconstrained convex optimization problems, generalizin...