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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 3 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
GECCO
2005
Springer
220views Optimization» more  GECCO 2005»
14 years 2 months ago
Scale invariant pareto optimality: a meta--formalism for characterizing and modeling cooperativity in evolutionary systems
This article describes a mathematical framework for characterizing cooperativity in complex systems subject to evolutionary pressures. This framework uses three foundational compo...
Mark Fleischer
ICIC
2005
Springer
14 years 2 months ago
An Intelligent Assistant for Public Transport Management
This paper describes the architecture of a computer system conceived as an intelligent assistant for public transport management. The goal of the system is to help operators of a c...
Martín Molina
SECON
2008
IEEE
14 years 3 months ago
Adaptive Radio Modes in Sensor Networks: How Deep to Sleep?
—Energy-efficient performance is a central challenge in sensor network deployments, and the radio is a major contributor to overall energy node consumption. Current energyeffic...
Raja Jurdak, Antonio G. Ruzzelli, Gregory M. P. O'...
TMC
2010
159views more  TMC 2010»
13 years 7 months ago
Radio Sleep Mode Optimization in Wireless Sensor Networks
—Energy-efficiency is a central challenge in sensor networks, and the radio is a major contributor to overall energy node consumption. Current energy-efficient MAC protocols fo...
Raja Jurdak, Antonio G. Ruzzelli, Gregory M. P. O'...