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» Evolving heuristics with genetic programming
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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
GECCO
2009
Springer
107views Optimization» more  GECCO 2009»
14 years 1 months ago
Evolving distributed algorithms with genetic programming: election
In this paper, we present a detailed analysis of the application of Genetic Programming to the evolution of distributed algorithms. This research field has many facets which make...
Thomas Weise, Michael Zapf
GECCO
2005
Springer
141views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolving cooperative strategies for UAV teams
We present a Genetic Programming approach to evolve cooperative controllers for teams of UAVs. Our focus is a collaborative search mission in an uncertain and/or hostile environme...
Marc D. Richards, L. Darrell Whitley, J. Ross Beve...
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 12 days ago
Heterogeneous cooperative coevolution: strategies of integration between GP and GA
Cooperative coevolution has proven to be a promising technique for solving complex combinatorial optimization problems. In this paper, we present four different strategies which i...
Leonardo Vanneschi, Giancarlo Mauri, Andrea Valsec...
GECCO
2010
Springer
158views Optimization» more  GECCO 2010»
14 years 2 days ago
Efficiently evolving programs through the search for novelty
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
Joel Lehman, Kenneth O. Stanley