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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
14 years 12 days 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
2009
IEEE
14 years 1 months ago
Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problems
Abstract—A number of population based optimization algorithms have been proposed in recent years to solve unconstrained and constrained single and multi-objective optimization pr...
Hemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen...
GECCO
2004
Springer
14 years 2 months ago
Towards a Generally Applicable Self-Adapting Hybridization of Evolutionary Algorithms
When applied to real-world problems, the powerful optimization tool of Evolutionary Algorithms frequently turns out to be too time-consuming due to elaborate fitness calculations t...
Wilfried Jakob, Christian Blume, Georg Bretthauer
CEC
2005
IEEE
14 years 2 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
BIOINFORMATICS
2002
100views more  BIOINFORMATICS 2002»
13 years 8 months ago
Optimal algorithms for local vertex quartet cleaning
Reconstructing evolutionary trees is an important problem in biology. A response to the computational intractability of most of the traditional criteria for inferring evolutionary...
Gianluca Della Vedova, Todd Wareham