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» An evolutionary method for complex-process optimization
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CEC
2007
IEEE
15 years 6 months ago
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
— Hypervolume based multiobjective evolutionary algorithms (MOEA) nowadays seem to be the first choice when handling multiobjective optimization problems with many, i.e., at lea...
Dimo Brockhoff, Eckart Zitzler
ASUNAM
2010
IEEE
14 years 11 months ago
A Multiobjective and Evolutionary Clustering Method for Dynamic Networks
—The discovery of evolving communities in dynamic networks is an important research topic that poses challenging tasks. Previous evolutionary based clustering methods try to maxi...
Francesco Folino, Clara Pizzuti
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 4 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
CEC
2005
IEEE
15 years 6 months ago
Complementary selection and variation for an efficient multiobjective optimization of complex systems
Real-world applications generally distinguish themselves from theoretical developments in that they are much more complex and varied. As a consequence, better models require more d...
Benoît Bagot, Hartmut Pohlheim
GECCO
2008
Springer
119views Optimization» more  GECCO 2008»
15 years 1 months ago
Evolutionary synthesis of low-sensitivity equalizers using adjacency matrix representation
An evolutionary synthesis method to design low-sensitivity IIR filters with linear phase in the passband is presented. The method uses a chromosome coding scheme based on the grap...
Leonardo Bruno de Sá, Antonio Carneiro Mesq...