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GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
16 years 14 days ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
16 years 14 days ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
16 years 14 days ago
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics
In this study, we introduce two improved assessment metrics of multiobjective optimizers, Nondominated Ratio and Spacing Distribution, and analyze their rationality and validity. ...
Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Sha...
GECCO
2005
Springer
116views Optimization» more  GECCO 2005»
16 years 14 days ago
Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
For computer-automated design systems to scale to complex designs they must be able to produce designs that exhibit the characteristics of modularity, regularity and hierarchy –...
Gregory Hornby
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 14 days ago
Incorporating fuzzy knowledge into fitness: multiobjective evolutionary 3D design of process plants
Designing technical plants is a complex and demanding process. It has been shown that the optimization of the simple facility placement problem is already NP-hard. Optimization of...
Ingo Mierswa
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