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» Dynamic Control of Genetic Algorithms in a Noisy Environment
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ECAL
2003
Springer
14 years 19 days ago
Evolving Embodied Genetic Regulatory Network-Driven Control Systems
We demonstrate the evolution of simple embodied Genetic Regulatory Networks (GRNs) as real-time control systems for robotic and software-based embodied Artificial Organisms, and p...
Tom Quick, Chrystopher L. Nehaniv, Kerstin Dautenh...
GECCO
2003
Springer
14 years 19 days ago
A Case for Codons in Evolutionary Algorithms
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
Joshua Gilbert, Margaret J. Eppstein
AAAI
1998
13 years 8 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
CEC
2008
IEEE
14 years 1 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
ICRA
2005
IEEE
192views Robotics» more  ICRA 2005»
14 years 1 months ago
A Robust Visual Odometry and Precipice Detection System Using Consumer-grade Monocular Vision
– We describe a monocular robot vision system which accomplishes accurate 3-DOF dead-reckoning, closedloop motion control, and precipice and obstacle detection, all in dynamic en...
Jason Campbell, Rahul Sukthankar, Illah R. Nourbak...