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» On the Brittleness of Evolutionary Algorithms
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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 10 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
ICAI
2004
15 years 8 months ago
A User Centered Evolutionary Scheduling Framework
The need for supporting CSCW applications with heterogeneous and varying user requirements call for adaptive and reconfigurable schedulers accommodating a mixture of real-time, pro...
Horst Wedde, Muddassar Farooq, Mario Lischka
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 7 months ago
An evolutionary design technique for collective communications on optimal diameter-degree networks
Scheduling collective communications (CC) in networks based on optimal graphs and digraphs has been done with the use of the evolutionary techniques. Inter-node communication patt...
Jirí Jaros, Vaclav Dvorak
CCE
2005
15 years 6 months ago
Interactive evolutionary computation in process engineering
In practical system identification, process optimization and controller design, it is often desirable to simultaneously handle several objectives and constraints. In some cases, t...
János Madár, János Abonyi, Fe...
APIN
2002
70views more  APIN 2002»
15 years 6 months ago
Compact Unstructured Representations for Evolutionary Design
This paper proposes a few steps to escape structured extensive representations for objects, in the context of evolutionary Topological Optimum Design (TOD) problems: early results ...
Hatem Hamda, François Jouve, Evelyne Lutton...