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GECCO
2004
Springer
15 years 5 months ago
Multi-agent Cooperation Using Genetic Network Programming with Automatically Defined Groups
In this paper, we propose a genetic network programming (GNP) architecture using a coevolution model called automatically defined groups (ADG). The GNP evolves networks for describ...
Tadahiko Murata, Takashi Nakamura
CORR
2006
Springer
153views Education» more  CORR 2006»
14 years 12 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
GECCO
2000
Springer
101views Optimization» more  GECCO 2000»
15 years 3 months ago
Characterizing a Tunably Difficult Problem in Genetic Programming
This paper examines the behavioral phenomena that occur with the tuning of the binomial-3 problem. Our analysis identifies a distinct set of phenomena that may be generalizable to...
Omer A. Chaudhri, Jason M. Daida, Jonathan C. Khoo...
ICCS
2005
Springer
15 years 5 months ago
Managing Heterogeneity in a Grid Parallel Haskell
Computational Grids potentially offer cheap large-scale high-performance systems, but are a very challenging architecture, being heterogeneous, shared and hierarchical. Rather tha...
Abdallah Al Zain, Philip W. Trinder, Hans-Wolfgang...
IADIS
2008
15 years 1 months ago
Gapbnf_Rule: A Genetic Miner Rule
The aim of this paper is to present an evolutionary system for classification problem called GAPBNF_Rule. GAPBNF_Rule is a powerful evolutionary method that distinguishes between ...
Rasha Shakir Abdul-Wahhab