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GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 10 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
138
Voted
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
15 years 10 months ago
Tactical UGV navigation and logistics planning
The Army’s push towards developing highly flexible military teams that combine manned and unmanned units requires significant advances in the intelligence of the unmanned units ...
Talib S. Hussain, Daniel Cerys, David J. Montana, ...
127
Voted
GECCO
2005
Springer
152views Optimization» more  GECCO 2005»
15 years 10 months ago
GAMM: genetic algorithms with meta-models for vision
Recent adaptive image interpretation systems can reach optimal performance for a given domain via machine learning, without human intervention. The policies are learned over an ex...
Greg Lee, Vadim Bulitko
173
Voted
GECCO
2005
Springer
228views Optimization» more  GECCO 2005»
15 years 10 months ago
Applying metaheuristic techniques to search the space of bidding strategies in combinatorial auctions
Many non-cooperative settings that could potentially be studied using game theory are characterized by having very large strategy spaces and payoffs that are costly to compute. Be...
Ashish Sureka, Peter R. Wurman
168
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GEOS
2005
Springer
15 years 10 months ago
Comparing Representations of Geographic Knowledge Expressed as Conceptual Graphs
Abstract. Conceptual Graphs are a very powerful knowledge and meaning representation formalism grounded on deep philosophical, linguistic and object oriented principles [1], [2]. C...
Athanasios Karalopoulos, Margarita Kokla, Marinos ...
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