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CEC
2009
IEEE
15 years 11 months ago
Towards creative design using collaborative interactive genetic algorithms
— We present a computational model of creative design based on collaborative interactive genetic algorithms. We test our model on floorplanning. We guide the evolution of floor...
Juan C. Quiroz, Sushil J. Louis, Amit Banerjee, Se...
CEC
2009
IEEE
15 years 11 months ago
Hyper-learning for population-based incremental learning in dynamic environments
— The population-based incremental learning (PBIL) algorithm is a combination of evolutionary optimization and competitive learning. Recently, the PBIL algorithm has been applied...
Shengxiang Yang, Hendrik Richter
DATE
2009
IEEE
129views Hardware» more  DATE 2009»
15 years 11 months ago
Improved performance and variation modelling for hierarchical-based optimisation of analogue integrated circuits
A new approach in hierarchical optimisation is presented which is capable of optimising both the performance and yield of an analogue design. Performance and yield trade offs are ...
Sawal Ali, Li Ke, Reuben Wilcock, Peter Wilson
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 10 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
BMEI
2008
IEEE
15 years 10 months ago
Using Phylogenetic Relationships to Improve the Inference of Transcriptional Regulatory Networks
Inferring transcriptional regulatory networks from geneexpression data remains a challenging problem, in part because of the noisy nature of the data and the lack of strong networ...
Xiuwei Zhang, Maryam Zaheri, Bernard M. E. Moret