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ECAL
2001
Springer
15 years 9 months ago
Pareto Optimality in Coevolutionary Learning
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
Sevan G. Ficici, Jordan B. Pollack
118
Voted
HPDC
1997
IEEE
15 years 9 months ago
Optimizing Layered Communication Protocols
Layering of protocols o ers several well-known advantages, but typically leads to performance ine ciencies. We present a model for layering, and point out where the performance pr...
Mark Hayden, Robbert van Renesse
PPSN
1998
Springer
15 years 9 months ago
A Decoder-Based Evolutionary Algorithm for Constrained Parameter Optimization Problems
Several methods have been proposed for handling nonlinear constraints by evolutionary algorithms for numerical optimization problems; a survey paper [7] provides an overview of var...
Slawomir Koziel, Zbigniew Michalewicz
AAAI
2007
15 years 7 months ago
A Multi-Agent Approach to Distributed Rendering Optimization
Physically based rendering is the process of generating a 2D om the abstract description of a 3D Scene. Despite the development of various new techniques and algorithms, the compu...
Carlos Gonzalez-Morcillo, Gerhard Weiss, Luis Jim&...
139
Voted
WSC
2008
15 years 7 months ago
An optimization framework for waferfab performance enhancement
A typical wafer fab requires numerous decisions for daily operations. Even small decisions on system configurations may have significant impact on the overall fab performance. One...
Daniel Noack, Boon-Ping Gan, Peter Lendermann, Oli...