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» How optimal is the genetic code
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121
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WSC
2007
15 years 6 months ago
Agile optimization for coercion
Coercion combines flexible points, semi-automated optimization and expert guided manual code modification for adapting simulations to meet new requirements. Coercion can improve s...
Lingjia Tang, Paul F. Reynolds Jr.
INFOCOM
2007
IEEE
15 years 10 months ago
Optimal Rate-Reliability-Delay Tradeoff in Networks with Composite Links
—Networks need to accommodate diverse applications with different Quality-of-Service (QoS) requirements. New ideas at the physical layer are being developed for this purpose, suc...
Ying Li, Mung Chiang, A. Robert Calderbank, Suhas ...
155
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GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 9 months ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman
115
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GECCO
2003
Springer
15 years 8 months ago
Methods for Evolving Robust Programs
Many evolutionary computation search spaces require fitness assessment through the sampling of and generalization over a large set of possible cases as input. Such spaces seem par...
Liviu Panait, Sean Luke
127
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Publication
285views
15 years 7 months ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano