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» Iterative Learning Control - Monotonicity and Optimization
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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 1 months ago
Dominance learning in diploid genetic algorithms for dynamic optimization problems
This paper proposes an adaptive dominance mechanism for diploidy genetic algorithms in dynamic environments. In this scheme, the genotype to phenotype mapping in each gene locus i...
Shengxiang Yang
ICC
2009
IEEE
196views Communications» more  ICC 2009»
15 years 4 months ago
Joint Flow Control, Routing and Medium Access Control in Random Access Multi-Hop Wireless Networks
This work extends the existing static framework for joint flow control, routing and medium access control (MAC) in random access multi-hop wireless networks to a dynamic framewor...
Sucha Supittayapornpong, Poompat Saengudomlert
CGO
2003
IEEE
15 years 3 months ago
Compiler Optimization-Space Exploration
To meet the performance demands of modern architectures, compilers incorporate an everincreasing number of aggressive code transformations. Since most of these transformations are...
Spyridon Triantafyllis, Manish Vachharajani, Neil ...
JMLR
2010
148views more  JMLR 2010»
14 years 4 months ago
A Generalized Path Integral Control Approach to Reinforcement Learning
With the goal to generate more scalable algorithms with higher efficiency and fewer open parameters, reinforcement learning (RL) has recently moved towards combining classical tec...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal
GECCO
2000
Springer
15 years 1 months ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith