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GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 7 months ago
Adapting Representation in Genetic Programming
Genetic Programming uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees....
Cezary Z. Janikow
EMO
2003
Springer
81views Optimization» more  EMO 2003»
15 years 7 months ago
Solving Hierarchical Optimization Problems Using MOEAs
Abstract. In this paper, we propose an approach for solving hierarchical multi-objective optimization problems (MOPs). In realistic MOPs, two main challenges have to be considered:...
Christian Haubelt, Sanaz Mostaghim, Jürgen Te...
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
15 years 5 months ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
VTC
2006
IEEE
101views Communications» more  VTC 2006»
15 years 8 months ago
Transmitter Precoding for Orthogonal Space-Time Block-Coded OFDM in Transmit-Antenna and Path-Correlated Channels
Abstract— Orthogonal space-time block-coded (OSTBC) orthogonal frequency-division multiplexing (OFDM) links for frequency-selective multiple-input multiple-output (MIMO) channels...
Yu Fu, Witold A. Krzymien, Chintha Tellambura
180
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GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 8 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall