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113
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AAAI
2000
15 years 4 months ago
Applying Learnable Evolution Model to Heat Exchanger Design
A new approach to evolutionary computation, called Learnable Evolution Model (LEM), has been applied to the problem of optimizing tube structures of heat exchangers. In contrast t...
Kenneth A. Kaufman, Ryszard S. Michalski
117
Voted
ICTAI
2009
IEEE
15 years 9 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
137
Voted
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 6 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
89
Voted
EVOW
2004
Springer
15 years 8 months ago
Improvisational Media Space: Architecture and Strategies for Evolution
This paper presents the current state in an ongoing development of the Emonic Environment (EE): a real-time improvisational system employing evolutionary principles for the mutatio...
Paul Nemirovsky, Rebecca Luger-Guillaume
106
Voted
CEC
2010
IEEE
15 years 2 months ago
G3PARM: A Grammar Guided Genetic Programming algorithm for mining association rules
— This paper presents the G3PARM algorithm for mining representative association rules. G3PARM is an evolutionary algorithm that uses G3P (Grammar Guided Genetic Programming) and...
Jose María Luna, José Raúl Ro...