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GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 9 months ago
Towards improved dispatching rules for complex shop floor scenarios: a genetic programming approach
Developing dispatching rules for manufacturing systems is a tedious process, which is time- and cost-consuming. Since there is no good general rule for different scenarios and ob...
Torsten Hildebrandt, Jens Heger, Bernd Scholz-Reit...
HIS
2008
13 years 9 months ago
Multiple Instance Learning with MultiObjective Genetic Programming for Web Mining
This paper introduces a multiobjective grammar based genetic programming algorithm to solve a Web Mining problem from multiple instance perspective. This algorithm, called MOG3P-MI...
Amelia Zafra, Eva Lucrecia Gibaja Galindo, Sebasti...
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
14 years 1 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
AAAI
2007
13 years 10 months ago
Visualization and Adjustment of Evaluation Functions Based on Evaluation Values and Win Probability
We present a method of visualizing and adjusting the evaluation functions in game programming in this paper. It is widely recognized that an evaluation function should assign a hi...
Shogo Takeuchi, Tomoyuki Kaneko, Kazunori Yamaguch...
CEC
2009
IEEE
14 years 2 months ago
Gate-level optimization of polymorphic circuits using Cartesian Genetic Programming
— Polymorphic digital circuits contain ordinary and polymorphic gates. In the past, Cartesian Genetic Programming (CGP) has been applied to synthesize polymorphic circuits at the...
Zbysek Gajda, Lukás Sekanina