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109
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ICCD
1999
IEEE
130views Hardware» more  ICCD 1999»
15 years 2 months ago
Preference-Driven Hierarchical Hardware/Software Partitioning
In this paper, we present a hierarchical evolutionary approach to hardware/software partitioning for real-time embedded systems. In contrast to most of previous approaches, we app...
Gang Quan, Xiaobo Hu, Garrison W. Greenwood
73
Voted
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 1 months ago
Robot gaits evolved by combining genetic algorithms and binary hill climbing
In this paper an evolutionary algorithm is used for evolving gaits in a walking biped robot controller. The focus is fast learning in a real-time environment. An incremental appro...
Lena Mariann Garder, Mats Erling Høvin
100
Voted
GECCO
2007
Springer
135views Optimization» more  GECCO 2007»
15 years 4 months ago
A cumulative evidential stopping criterion for multiobjective optimization evolutionary algorithms
In this work we present a novel and efficient algorithm– independent stopping criterion, called the MGBM criterion, suitable for Multiobjective Optimization Evolutionary Algorit...
Luis Martí, Jesús García, Ant...
80
Voted
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
A general coarse-graining framework for studying simultaneous inter-population constraints induced by evolutionary operations
The use of genotypic populations is necessary for adaptation in Evolutionary Algorithms. We use a technique called form-invariant commutation to study the immediate effect of evol...
Keki M. Burjorjee, Jordan B. Pollack
82
Voted
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
14 years 11 months ago
Application domain study of evolutionary algorithms in optimization problems
This paper deals with the problem of comparing and testing evolutionary algorithms, that is, the benchmarking problem, from an analysis point of view. A practical study of the app...
Pilar Caamaño, Francisco Bellas, José...