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ESANN
2006
13 years 9 months ago
Learning for stochastic dynamic programming
Abstract. We present experimental results about learning function values (i.e. Bellman values) in stochastic dynamic programming (SDP). All results come from openDP (opendp.sourcef...
Sylvain Gelly, Jérémie Mary, Olivier...
WCRE
2009
IEEE
14 years 2 months ago
Automatic Package Coupling and Cycle Minimization
Abstract—Object-oriented (OO) software is usually organized into subsystems using the concepts of package or module. Such modular structure helps applications to evolve when faci...
Hani Abdeen, Stéphane Ducasse, Houari A. Sa...
EMO
2005
Springer
126views Optimization» more  EMO 2005»
14 years 1 months ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 1 months ago
Learned mutation strategies in genetic programming for evolution and adaptation of simulated snakebot
In this work we propose an approach of incorporating learned mutation strategies (LMS) in genetic programming (GP) employed for evolution and adaptation of locomotion gaits of sim...
Ivan Tanev
GECCO
2003
Springer
14 years 26 days ago
Structural Emergence with Order Independent Representations
Abstract. This paper compares two grammar based Evolutionary Automatic Programming methods, Grammatical Evolution (GE) and Chorus. Both systems evolve sequences of derivation rules...
R. Muhammad Atif Azad, Conor Ryan