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» On the Brittleness of Evolutionary Algorithms
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GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
15 years 10 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
JUCS
2008
172views more  JUCS 2008»
15 years 6 months ago
A Hybrid Transgenetic Algorithm for the Prize Collecting Steiner Tree Problem
: Evolutionary algorithms are effective search tools for tackling difficult optimization problems. In this paper an algorithm based on living processes where cooperation is the mai...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 14 days ago
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordin...
Rafael Ramirez, Amaury Hazan
CEC
2005
IEEE
15 years 12 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
GECCO
2004
Springer
15 years 11 months ago
Dynamic Uniform Scaling for Multiobjective Genetic Algorithms
Before Multiobjective EvolutionaryAlgorithms (MOEAs) can be used as a widespread tool for solving arbitrary real world problems there are some salient issues which require further ...
Gerulf K. M. Pedersen, David E. Goldberg