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GECCO
2010
Springer
249views Optimization» more  GECCO 2010»
13 years 10 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...
EC
1998
134views ECommerce» more  EC 1998»
13 years 8 months ago
Schema Theory for Genetic Programming with One-Point Crossover and Point Mutation
In this paper we first review the main results obtained in the theory of schemata in Genetic Programming (GP) emphasising their strengths and weaknesses. Then we propose a new, s...
Riccardo Poli, William B. Langdon
IADIS
2008
13 years 10 months ago
Information Retrieval with Cluster Genetic
This article presents an online cluster using genetic algorithms to increase information retrieval efficiency. The Information Retrieval (IR) is based on the grouping of documents...
José Luis Castillo Sequera, José Ra&...
ECAI
2010
Springer
13 years 10 months ago
Nested Monte-Carlo Expression Discovery
Nested Monte-Carlo search is a general algorithm that gives good results in single player games. Genetic Programming evaluates and combines trees to discover expressions that maxim...
Tristan Cazenave
EUSFLAT
2003
165views Fuzzy Logic» more  EUSFLAT 2003»
13 years 10 months ago
Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems
This paper suggests an evolutionary approach to design coordination strategies, a key issue in distributed intelligent systems. We focus on competitive strategies in the form of f...
Igor Walter, Fernando A. C. Gomide