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TEC
2002
128views more  TEC 2002»
14 years 9 months ago
A framework for evolutionary optimization with approximate fitness functions
It is not unusual that an approximate model is needed for fitness evaluation in evolutionary computation. In this case, the convergence properties of the evolutionary algorithm are...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 1 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
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 3 months ago
Fitness inheritance for noisy evolutionary multi-objective optimization
This paper compares the performance of anti-noise methods, particularly probabilistic and re-sampling methods, using NSGA2. It then proposes a computationally less expensive appro...
Lam Thu Bui, Hussein A. Abbass, Daryl Essam
CEC
2005
IEEE
15 years 3 months ago
Multidimensional epistasis and the advantage of sex
Kondrashov and Kondrashov (2001) point out that, although common in population genetic models, epistatic systems where the fitness of a genotype is a non-linear function of the num...
Richard A. Watson, John Wakeley
81
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AUSAI
1999
Springer
15 years 1 months ago
Applying Ant Algorithms and the No Fit Polygon to the Nesting Problem
In previous work solutions for the nesting problem are produced using the no fit polygon (NFP), a new evaluation method and three evolutionary algorithms (simulated annealing (SA),...
Edmund K. Burke, Graham Kendall