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EOR
2002
66views more  EOR 2002»
13 years 8 months ago
Dynamic multi-objective heating optimization
We develop a multicriteria approach to the problem of space heating under a time varying price of electricity. In our dynamic goal programming model the goals are ideal temperatur...
Raimo P. Hämäläinen, Juha Mänt...
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 3 months ago
Coevolution of intelligent agents using cartesian genetic programming
A coevolutionary competitive learning environment for two antagonistic agents is presented. The agents are controlled by a new kind of computational network based on a compartment...
Gul Muhammad Khan, Julian Francis Miller, David M....
CEC
2009
IEEE
14 years 3 days ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 2 months ago
A Study of the Role of Single Node Mutation in Genetic Programming
In this paper we examine the effects of single node mutations on trees evolved via genetic programming. The results show that neutral mutations are less likely for nodes nearer th...
Wei Quan, Terence Soule
CORR
2011
Springer
144views Education» more  CORR 2011»
13 years 3 months ago
Schema Redescription in Cellular Automata: Revisiting Emergence in Complex Systems
—We present a method to eliminate redundancy in the transition tables of Boolean automata: schema redescription with two symbols. One symbol is used to capture redundancy of indi...
Manuel Marques-Pita, Luis Mateus Rocha