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» Genetic programming and evolutionary generalization
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159
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AAAI
1996
15 years 3 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
104
Voted
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
15 years 3 months ago
Subheuristic search and scalability in a hyperheuristic
Our previous work has introduced a hyperheuristic (HH) approach based on Genetic Programming (GP). There, GP employs usergiven languages where domain-specific local heuristics ar...
Robert E. Keller, Riccardo Poli
240
Voted
POPL
2008
ACM
16 years 2 months ago
Systems biology, models, and concurrency
Models will play a central role in the representation, storage, manipulation, and communication of knowledge in systems biology. Models capable of fulfilling such a role will like...
Walter Fontana
104
Voted
GECCO
2009
Springer
113views Optimization» more  GECCO 2009»
15 years 9 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
106
Voted
MICRO
2002
IEEE
121views Hardware» more  MICRO 2002»
15 years 2 months ago
Convergent scheduling
Convergent scheduling is a general framework for instruction scheduling and cluster assignment for parallel, clustered architectures. A convergent scheduler is composed of many ind...
Walter Lee, Diego Puppin, Shane Swenson, Saman P. ...