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» On the convergence of Hill's method
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EMO
2005
Springer
194views Optimization» more  EMO 2005»
15 years 7 months ago
An EMO Algorithm Using the Hypervolume Measure as Selection Criterion
Abstract. The hypervolume measure is one of the most frequently applied measures for comparing the results of evolutionary multiobjective optimization algorithms (EMOA). The idea t...
Michael Emmerich, Nicola Beume, Boris Naujoks
100
Voted
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
15 years 7 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
86
Voted
GECCO
2005
Springer
106views Optimization» more  GECCO 2005»
15 years 7 months ago
Fitness uniform deletion: a simple way to preserve diversity
A commonly experienced problem with population based optimisation methods is the gradual decline in population diversity that tends to occur over time. This can slow a system’s ...
Shane Legg, Marcus Hutter
IFIP
2005
Springer
15 years 7 months ago
A New Low Rank Quasi-Newton Update Scheme for Nonlinear Programming
A new quasi-Newton scheme for updating a low rank positive semi-definite Hessian approximation is described, primarily for use in sequential quadratic programming methods for non...
R. Fletcher
128
Voted
ASPDAC
2004
ACM
85views Hardware» more  ASPDAC 2004»
15 years 7 months ago
Integrating buffer planning with floorplanning for simultaneous multi-objective optimization
As the process technology advances into the deep submicron era, interconnect plays a dominant role in determining circuit performance and signal integrity. Buffer insertion is one...
Yi-Hui Cheng, Yao-Wen Chang