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CEC
2003
IEEE
16 years 5 days ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...
DAC
1996
ACM
15 years 11 months ago
A Methodology for Concurrent Fabrication Process/Cell Library Optimization
- 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...
ESA
2010
Springer
227views Algorithms» more  ESA 2010»
15 years 8 months ago
Approximating Parameterized Convex Optimization Problems
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...
Joachim Giesen, Martin Jaggi, Sören Laue
TIT
2010
114views Education» more  TIT 2010»
15 years 1 months ago
Convergence of min-sum message-passing for convex optimization
Abstract--We establish that the min-sum messagepassing algorithm and its asynchronous variants converge for a large class of unconstrained convex optimization problems, generalizin...
Ciamac Cyrus Moallemi, Benjamin Van Roy
PODC
1999
ACM
15 years 11 months ago
Optimal, Distributed Decision-Making: The Case of no Communication
We present a combinatorial framework for the study of a natural class of distributed optimization problems that involve decisionmaking by a collection of n distributed agents in th...
Marios Mavronicolas, Paul G. Spirakis