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» Simulation Optimization: Methods and Applications
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GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 4 months ago
Environmental robustness in multi-agent teams
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
Terence Soule, Robert B. Heckendorn
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
15 years 4 months ago
Evolution of robust data distribution among digital organisms
This paper describes a study of the evolution of robust communication, specifically the distribution of data among individuals in a population, using digital evolution. In digita...
David B. Knoester, Andres J. Ramirez, Philip K. Mc...
SARA
2009
Springer
15 years 4 months ago
Automated Redesign with the General Redesign Engine
: Given a system design (SD), a key task is to optimize this design to reduce the probability of catastrophic failures. We consider the task of redesigning an SD to minimize the pr...
Alexander Feldman, Gregory M. Provan, Johan de Kle...
SAT
2009
Springer
109views Hardware» more  SAT 2009»
15 years 4 months ago
A Compact Representation for Syntactic Dependencies in QBFs
Different quantifier types in Quantified Boolean Formulae (QBF) introduce variable dependencies which have to be taken into consideration when deciding satisfiability of a QBF....
Florian Lonsing, Armin Biere
CEC
2008
IEEE
15 years 4 months ago
The simplest evolution/learning hybrid: LEM with KNN
Abstract— The Learnable Evolution Model (LEM) was introduced by Michalski in 2000, and involves interleaved bouts of evolution and learning. Here we investigate LEM in (we think)...
Guleng Sheri, David W. Corne