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GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 6 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
CEC
2007
IEEE
15 years 9 months ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...
CEC
2005
IEEE
15 years 8 months ago
A hybrid model of evolutionary algorithms and branch-and-bound for combinatorial optimization problems
Abstract- Branch-and-Bound and evolutionary algorithms represent two very different approaches for tackling combinatorial optimization problems. These approaches are not incompatib...
José E. Gallardo, Carlos Cotta, Antonio J. ...
GECCO
2003
Springer
15 years 8 months ago
The Structure of Evolutionary Exploration: On Crossover, Buildings Blocks, and Estimation-Of-Distribution Algorithms
Correlations between alleles after selection are an important source of information. Such correlations should be exploited for further search and thereby constitute the building bl...
Marc Toussaint
PPSN
1998
Springer
15 years 6 months ago
Comparison of Evolutionary Algorithms for Design Optimization
The production of specimen for microsystems or microcomponents is both, time and material-consuming. In a traditional design process the number of possible variations which can be ...
Wilfried Jakob, Martina Gorges-Schleuter, Ingo Sie...