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106
Voted
GECCO
2007
Springer
119views Optimization» more  GECCO 2007»
15 years 9 months ago
Optimising the flow of experiments to a robot scientist with multi-objective evolutionary algorithms
A Robot Scientist is a physically implemented system that applies artificial intelligence to autonomously discover new knowledge through cycles of scientific experimentation. Ad...
Emma Byrne
134
Voted
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
15 years 9 months ago
Transgenetic algorithm: a new evolutionary perspective for heuristics design
Transgenetic algorithms are evolutionary computing techniques based on living processes where cooperation is the main evolutionary strategy. Those processes contain the movement o...
Elizabeth Ferreira Gouvea Goldbarg, Marco Cé...
ISCAS
2005
IEEE
143views Hardware» more  ISCAS 2005»
15 years 9 months ago
Design and FPGA implementation of a structure of evolutionary digital filters for hardware implementation
— In this paper, we design and implement an improved hardware-based evolutionary digital filter (EDF) version 2. The EDF is an adaptive digital filter which is controlled by ad...
Masahide Abe, Hiroki Arai, Masayuki Kawamata
136
Voted
GECCO
2004
Springer
212views Optimization» more  GECCO 2004»
15 years 8 months ago
An Evolutionary Autonomous Agent with Visual Cortex and Recurrent Spiking Columnar Neural Network
Spiking neural networks are computationally more powerful than conventional artificial neural networks. Although this fact should make them especially desirable for use in evoluti...
Rich Drewes, James B. Maciokas, Sushil J. Louis, P...
GECCO
2010
Springer
150views Optimization» more  GECCO 2010»
15 years 8 months ago
Towards drift correction in chemical sensors using an evolutionary strategy
Gas chemical sensors are strongly affected by the so-called drift, i.e., changes in sensors’ response caused by poisoning and aging that may significantly spoil the measures g...
Stephano Di Carlo, Ernesto Sánchez, Alberto...