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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
13 years 9 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
EVOW
2008
Springer
13 years 5 months ago
Discovering Several Robot Behaviors through Speciation
Abstract. This contribution studies speciation from the standpoint of evolutionary robotics (ER). A common approach to ER is to design a robot’s control system using neuro-evolut...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
13 years 10 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
VRCAI
2004
ACM
13 years 10 months ago
Explorative construction of virtual worlds: an interactive kernel approach
Despite steady research advances in many aspects of virtual reality, building and testing virtual worlds remains to be a very difficult process. Most virtual environments are stil...
Jinseok Seo, Gerard Jounghyun Kim
DAC
2000
ACM
14 years 5 months ago
Unifying behavioral synthesis and physical design
eously demand shorter and less costly design cycles. Designing at higher levels of abstraction makes both objectives achievable, but enabling techniques like behavioral synthesis h...
William E. Dougherty, Donald E. Thomas