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IROS
2006
IEEE
193views Robotics» more  IROS 2006»
15 years 9 months ago
Adaptive Human-Robot Interaction System using Interactive EC
— We created a human-robot communication system that can adapt to user preferences that can easily change through communication. Even if any learning algorithms are used, evaluat...
Yuki Suga, Chihiro Endo, Daizo Kobayashi, T. Matsu...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 6 months ago
Selecting for evolvable representations
Evolutionary algorithms tend to produce solutions that are not evolvable: Although current fitness may be high, further search is impeded as the effects of mutation and crossover ...
Joseph Reisinger, Risto Miikkulainen
CEC
2010
IEEE
15 years 4 months ago
Using aesthetic measures to evolve art
In this paper we investigate and compare three aesthetic measures within the context of evolutionary art. We evolve visual art with an unsupervised evolutionary art system using ge...
Eelco den Heijer, A. E. Eiben
GECCO
2010
Springer
127views Optimization» more  GECCO 2010»
15 years 1 months ago
Set-based multi-objective optimization, indicators, and deteriorative cycles
Evolutionary multi-objective optimization deals with the task of computing a minimal set of search points according to a given set of objective functions. The task has been made e...
Rudolf Berghammer, Tobias Friedrich, Frank Neumann
EVOW
2009
Springer
15 years 26 days ago
Conquering the Needle-in-a-Haystack: How Correlated Input Variables Beneficially Alter the Fitness Landscape for Neural Networks
Abstract. Evolutionary algorithms such as genetic programming and grammatical evolution have been used for simultaneously optimizing network architecture, variable selection, and w...
Stephen D. Turner, Marylyn D. Ritchie, William S. ...