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» Complex networks as control paradigm for complex systems
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GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 11 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
MICROMACHINES
2011
15 years 1 months ago
Modeling Self-Assembly Across Scales: The Unifying Perspective of Smart Minimal Particles
: A wealth of current research in microengineering aims at fabricating devices of increasing complexity, notably by (self-)assembling elementary components into heterogeneous funct...
Massimo Mastrangeli, Grégory Mermoud, Alche...
POPL
2003
ACM
16 years 7 months ago
Selective memoization
We present a framework for applying memoization selectively. The framework provides programmer control over equality, space usage, and identification of precise dependences so tha...
Umut A. Acar, Guy E. Blelloch, Robert Harper
ICRA
2002
IEEE
146views Robotics» more  ICRA 2002»
15 years 11 months ago
Real-Time Combinatorial Tracking of a Target Moving Unpredictably among Obstacles
Abstract—Many applications require continuous monitoring of a moving target by a controllable vision system. Although the goal of tracking objects is not new, traditional techniq...
Héctor H. González-Baños, Che...
ICAI
2004
15 years 8 months ago
Integrating Robotic Sensor and Effector Capabilities with Multi-agent Organizations
Robots possess many effectors and sensors of various capability. It is often difficult, not only to integrate these numerous capabilities, but also to organize them to accomplish ...
Eric T. Matson, Scott A. DeLoach