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AAAI
1994
14 years 11 months ago
Evolving Neural Networks to Focus Minimax Search
Neural networks were evolved through genetic algorithms to focus minimax search in the game of Othello. At each level of the search tree, the focus networks decide which moves are...
David E. Moriarty, Risto Miikkulainen
GECCO
2008
Springer
132views Optimization» more  GECCO 2008»
14 years 11 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
JSW
2006
56views more  JSW 2006»
14 years 9 months ago
Evolutionary Computing for Detection of Retentive Structures in Coastal Waters
The demography of anchovy fishes in the Gulf of Biscay seems to be related to the presence of socalled "retentive" hydrodynamical structures, that keep fish eggs and larv...
Marc Segond, Denis Robilliard, Virginie Marion-Pot...
IWCLS
2007
Springer
15 years 4 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
AISADM
2005
Springer
15 years 3 months ago
Evolving Agents: Communication and Cognition
Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Leonid I. Perlovsky