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» Representations for evolutionary algorithms
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136
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GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
118
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ICANNGA
2007
Springer
15 years 9 months ago
DNA Based Evolutionary Approach for Microprocessor Design Automation
In a paper [1] presented to BICS 2006, a basic methodology for microprocessor design automation using DNA sequences was proposed. A refined methodology with new schemes for travers...
Nagarajan Venkateswaran, Arjun Kumeresh, Harish Ch...
149
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INTEGRATION
2010
172views more  INTEGRATION 2010»
15 years 2 months ago
Analog circuits optimization based on evolutionary computation techniques
1 — This paper presents a new design automation tool based on a modified genetic algorithm kernel, in order to increase efficiency on the analog circuit and system design cycle. ...
Manuel F. M. Barros, Jorge Guilherme, Nuno Horta
128
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CEC
2009
IEEE
15 years 10 months ago
Gene regulation in a particle metabolome
Abstract— The bacterial genome is well understood by biologists. Although its efficiency and adaptability should make it a good model for evolutionary algorithms, the bacterial ...
Simon J. Hickinbotham, Edward Clark, Susan Stepney...
133
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ASAP
2005
IEEE
108views Hardware» more  ASAP 2005»
15 years 9 months ago
Using Symbolic Feasibility Tests during Design Space Exploration of Heterogeneous Multi-Processor Systems
The task of automatic design space exploration of heterogeneous multi-processor systems is often tackled with Evolutionary Algorithms. In this paper, we propose a novel approach i...
Thomas Schlichter, Christian Haubelt, Frank Hannig...